
Programme
Mon, 17/02/2025
08:00 - 09:00
08:00 - 09:00
Mon, 17/02/2025
13:30 - 17:00
13:30 - 17:00
Tue, 18/02/2025
09:30 - 12:00
09:30 - 12:00
Chaired by:
Prof. Francisco Chinesta
(ESI GROUP Chair, ENSAM ParisTech, France)
-
Deep Neural Operators as Foundation Models for Digital Twins
G. Karniadakis
Tue, 18/02/2025
13:30 - 14:45
13:30 - 14:45
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Chaired by:
Prof. Julien Yvonnet
(Universite Gustave Eiffel, France)
-
Keynote
Inverse Problems in FEMU-DIC: Regularised Fields of Elastic Constants via Sparse Gaussian Process Priors
P. Kerfriden * -
Use of physics in data-driven modeling of process-structure relationships to enhance off-the-shelf machine learning models
F. Bock * , N. Huber , B. Klusemann -
Student
A Data-Driven-based Homogenization Approach for Modelling the Anisotropic Damage of Quasi-brittle Heterogeneous Structures
Z. CHAFIA * , J. YVONNET , J. BLEYER -
Student
Adaptive Physics-Informed Digital Twin for Process Parameters Optimization
F. Ambrosio Garcia * , H. Devriendt , H. Metin , M. Özer , F. Naets -
FNO-CG: Accelerating CG Solvers for Homogenization Problems with Fourier Neural Operators
J. Herb * , F. Fritzen
Main Organizer:
Phd.
Stefania Fresca
(Politecnico di Milano, Italy)
Main Organizer:
Mr.
Matteo Torzoni
(Politecnico di Milano, Italy)
Main Organizer:
Prof.
Ioannis Kalogeris
(National Technical University of Athens, Greece)
Main Organizer:
Prof.
Ludovic CHAMOIN
(ENS Paris-Saclay, France)
Main Organizer:
Prof.
Andrea Manzoni
(Politecnico di Milano, Italy)
Main Organizer:
Prof.
Martin Genet
(École Polytechnique, France)
Main Organizer:
Prof.
Raffaele D'Ambrosio
(University of L'Aquila, Italy)
Main Organizer:
Prof.
WaiChing Sun
(Columbia University, United States)
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Main Organizer:
Prof.
Chady Ghnatios
(University of North Florida, United States)
Main Organizer:
Mr.
Leon Herrmann
(Technische Universität München, Germany)
Main Organizer:
Prof.
Marie-Christine HO BA THO
(Université de technologie de Compiègne, France)
Main Organizer:
Prof.
Tan Bui-Thanh
(The University of Texas, United States)
Main Organizer:
Dr.
Jeffrey Harris
(École nationale des ponts et chaussées, France)
Main Organizer:
Prof.
Mats G. Larson
(Umea University, Sweden)
Main Organizer:
Dr.
Javier E. Santos
(Los Alamos National Laboratory, United States)
Main Organizer:
Phd.
Ettore Saetta
(University of Naples Federico II, Italy)
Main Organizer:
Prof.
Eleni Chatzi
(ETH Zurich, Switzerland)
Main Organizer:
Ms.
Veronika Travnikova
(RWTH Aachen University, Germany)
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Main Organizer:
Prof.
Sergio Tavares
(Universidade de Aveiro, Portugal)
Main Organizer:
Dr.
Duc Phi Do
(University of Orleans, France)
Main Organizer:
Dr.
Dimitrios Loukrezis
(Siemens AG, Germany)
Main Organizer:
Dr.
Shenglin Huang
(Nanyang Technological University, Singapore)
Main Organizer:
Prof.
Robin Bouclier
(INSA Toulouse, France, France)
Main Organizer:
Prof.
Trond Kvamsdal
(Norwegian University of Science and Technology (NTNU), Norway)
Main Organizer:
Dr.
Emmanuel Baranger
(CNRS, France)
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Main Organizer:
Prof.
Johannes Gerstmayr
(University of Innsbruck, Austria)
Main Organizer:
Dr.
Esther Andrés Pérez
(INTA, Spain)
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Main Organizer:
Prof.
Mats G. Larson
(Umea University, Sweden)
Main Organizer:
Prof.
WaiChing Sun
(Columbia University, United States)
Main Organizer:
Prof.
Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Main Organizer:
Prof.
WaiChing Sun
(Columbia University, United States)
MS041D Mathematical modeling, numerical simulations and AI techniques to enhance battery lifetime IV
Main Organizer:
Prof.
Raffaele D'Ambrosio
(University of L'Aquila, Italy)
Main Organizer:
Prof.
Laura Mainini
(Imperial College London, United Kingdom)
Main Organizer:
Dr.
Romit Maulik
(Penn State University, United States)
Main Organizer:
Mr.
Paolo Zunino
(MOX, Department of Mathematics, Politecnico di Milano, Italy)
Main Organizer:
Prof.
Marie-Christine HO BA THO
(Université de technologie de Compiègne, France)
Main Organizer:
Mr.
Jan Marius Stürmer
(German Aerospace Center (DLR), Germany)
Main Organizer:
Dr.
Chanaka Prabuddha Batuwatta Gamage
(Queensland University of Technology, Australia)
Main Organizer:
Prof.
Jelena Ninic
(University of Birmingham, United Kingdom)
Chaired by:
Prof. Jelena Ninic
(University of Birmingham, United Kingdom)
,
Dr. Hoang Giang Bui
(Helmholtz Zentrum Hereon, Germany)
-
Keynote
Student
A Minimum Viable Product for Long-Term Basement Monitoring Using a Reflective Twin
N. Babanagar , B. Sheil * -
Student
Improving Decision-Making In Geotechnical Construction with Probabilistic Digital Twins
D. Cotoarba * , D. Straub , I. Smith -
Student
AI-Enabled Digital Twin Modelling of Dynamic Soil Plug Movement During Caisson Installation
B. Williams * , S. Suryasentana , K. Donaldson -
Digital Twin for Damage Modeling of Tunnel Linings
J. Ninic * , Z. Ye , H. Bui , K. Altinay , P. Cavallaro , V. Villa -
Student
Digital reconstruction of underground space using in-pipe ground penetrating radar and deep learning
H. Wu * , G. Wang , K. Li , B. Sheil
Main Organizer:
Ms.
Veronika Travnikova
(RWTH Aachen University, Germany)
Chaired by:
Dr. Matthias Möller
(Delft University of Technology, Netherlands)
,
Ms. Veronika Travnikova
(RWTH Aachen University, Germany)
-
Keynote
Accelerating Numerical Simulations in CFD by Model Reduction with Scientific and Physics-Informed Machine Learning
G. Rozza * -
Student
Towards 3D Surrogate Model of Flow in Stirred Tank Reactors Using Physics-Informed Neural Networks
V. Trávníková * , E. von Lieres , M. Behr -
Surrogate Modeling of Fluid Flow at Different Reynolds Numbers Using Physics-informed Deep Operator Network
J. Onishi * , H. Kitagawa , M. Tsubokura -
Student
4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks
J. Bisbal * , J. Sotelo , H. Mella , J. Mura , P. Irarrazaval , C. Tejos , T. Sekine , S. Uribe
Main Organizer:
Prof.
Andrea Manzoni
(Politecnico di Milano, Italy)
Chaired by:
Prof. Andrea Manzoni
(Politecnico di Milano, Italy)
,
Dr. Mengwu Guo
(Lund University, Sweden)
-
Keynote
Non-intrusive reduced-order modeling with quantum reservoir computing
V. Jain * , R. Maulik -
A physical-generative framework for data-driven modeling with uncertainty quantification
P. Conti * , J. Kneifl , A. Manzoni , A. Frangi , J. Fehr , S. Brunton , N. Kutz -
Student
FUSE: Fast Unified Simulation and Estimation for PDEs
L. Lingsch * , D. Grund , S. Mishra , G. Kissas -
Student
HydroGym: A Platform for Reinforcement Learning in Fluid Dynamics
C. Lagemann * , S. Ahnert , L. Paehler , S. Mokbel , J. Callaham , E. Lagemann , N. Adams , S. Brunton -
Student
Enhancing Sparse Identification of Nonlinear Dynamics With EMD-Based Method
D. Liu * , A. Sopasakis
Main Organizer:
Prof.
WaiChing Sun
(Columbia University, United States)
Chaired by:
Prof. Jiun-Shyan Chen
(University of California, San Diego, United States)
,
Mr. Joep Storm
(Delft University of Technology, Netherlands)
-
A New Mesh-Based Framework for Aerodynamic Design Utilising Evolutionary and Bayesian Optimisation Approaches
B. Evans * , M. Dodds , S. Walton , B. Smith , J. Salamoun -
Student
A Neural Network Enhanced Framework for Data-Driven Inelasticity - Towards Two Dimensional Problems
M. Harnisch * , T. Bartel , B. Schweizer , A. Menzel -
Rank Reduction Autoencoder for parameterization of eigenvalue problems
S. Rodriguez * , S. Torregrosa , A. Cordero , J. Torregrosa , M. Ziane , F. Chinesta -
Student
An Interpretable Multi-task Approach for Physically Recurrent Neural Networks
M. Maia * , A. van Gils , I. Rocha , F. van der Meer -
Student
Spectral Physics-Informed Finite Operator Learning (SPiFOL) for Accelerated Prediction of Heterogeneous Material Behavior
A. Harandi * , S. Rezaei , T. Brepols , S. Reese
Main Organizer:
Phd.
Stefania Fresca
(Politecnico di Milano, Italy)
Chaired by:
Phd. Stefania Fresca
(Politecnico di Milano, Italy)
,
Dr. Federico Pichi
(SISSA, Italy)
-
Keynote
Shallow Recurrent Decoders for Reduced Order Modeling
N. Kutz * , M. Gao , J. Williams -
Approximately well-balanced Discontinuous Galerkin methods using bases enriched with Physics-Informed Neural Networks
E. Franck , V. Michel-Dansac * , L. Navoret -
Registration-based data assimilation from medical images
F. Romor * , F. Galarce , J. Zhu , A. Caiazzo -
Student
Neural Green's Operators for Parametric Partial Differential Equations
J. Prins * , H. Melchers , M. Abdelmalik -
Student
Sparse Identification for Bifurcating Phenomena in Computational Fluid Dynamics
L. Tomada , M. Khamlich * , F. Pichi , G. Rozza
Main Organizer:
Dr.
Rebekah White
(Sandia National Laboratories, United States)
Chaired by:
Dr. Rebekah White
(Sandia National Laboratories, United States)
,
Dr. Tim Wildey
(Sandia National Labs, United States)
-
Keynote
Real-time SciDL calibration approaches with UQ for digital twins
T. Bui-Thanh * -
Building-Block Model Aggregation: Reduction of Turbulence Modeling Uncertainties via Bayesian Inference and Machine Learning
C. Roques * , G. Dergham , X. Merle , P. Cinnella -
Optimal Data Acquisition with Data-Consistent Inversion and Learning of Uncertain Quantities
T. Butler * , H. Hakula , T. Roper -
Bayesian calibration in a multi-output transposition context
C. Sire * , J. Garnier , B. Kerleguer
Main Organizer:
Prof.
Laura Mainini
(Imperial College London, United Kingdom)
Chaired by:
Dr. Matteo Diez
(CNR-INM, Italy)
,
Dr. Domenico Quagliarella
(CIRA, Italy)
-
Keynote
Development of a Digital Twin for Combustion Systems Using Automated Data Generation and Machine Learning
I. Cozza * , M. Centini , S. Tosi , F. Aglietti -
Bayesian Calibration and Transfer Learning for Fouling Diagnosis in Heat Exchangers
E. Fuzaro de Almeida * , V. Batista Godoy , S. da Silva -
Development of a Digital Twin for the improvement and innovation of CIRA's experimental facilities
R. Donelli * , F. Capizzano , D. Quagliarella -
Dynamic Mode Decomposition for Real-Time Digital Twinning: Applications in Naval, Renewable-Energy, and Urban Systems
M. Diez * , G. Palma , R. Pellegrini , A. Serani -
Digital Twins As Enablers For Safe Green Aviation
F. Di Fiore * , P. Berri , L. Mainini
Main Organizer:
Dr.
Thibault Dairay
(Michelin, France)
Chaired by:
Dr. Thibault Dairay
(Michelin, France)
,
Prof. Florian De Vuyst
(University of Technology of Compiègne, France)
-
Keynote
Scientific Machine Learning for Industrial Design
F. Casenave * -
Student
Reconstruction of Flow Fields from Data Using Physics-Informed Gaussian Process Regression
A. Padilla-Segarra * , P. Noble , O. Roustant , E. Savin -
Quantized local reduced-order models for chaotic flows.
A. Colanera * , L. Magri -
Coupling physics-based and data-driven models for the simulation of fluid/structure interaction: an application to tire hydroplaning modelling
T. Dairay * , A. Tiba , F. De Vuyst , I. Mortazavi , J. Berro-Ramirez
Main Organizer:
Prof.
Eleni Chatzi
(ETH Zurich, Switzerland)
Chaired by:
Prof. Eleni Chatzi
(ETH Zurich, Switzerland)
,
Prof. Beatriz Moya
(ENSAM Paris, France)
-
Student
A Dual Updating Scheme For Damage Identifiation Based on Physics-Informed Neural Networks
V. Panagiotopoulou * , C. Sbarufatti , E. Chatzi -
Physics-embedded Graph Neural Networks for Rapid Assessment of Electrical Substations in Extreme Events
B. Moya * , H. Liang , E. Chatzi , F. Chinesta -
Student
Automated condition monitoring using spectral autoencoders for fault detection in mechanical systems
F. Jamil * , C. Peeters , J. Helsen -
Student
Online Parameter Identification for Flow Quality Monitoring in Solenoid Valves
V. Smeets * , F. Naets , K. GRyllias -
Student
Physics-informed neural networks (PINNs) for bridges with moving loads
A. Al-Adly * , P. Kripakaran -
Mode Shape-Informed Graph Neural Networks for Structural Damage Localization in Truss Bridges
A. Dadras Eslamlou * , S. Mammeri , M. Cabaleiro , B. Conde , B. Riveiro
Tue, 18/02/2025
16:45 - 17:00
16:45 - 17:00
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Chaired by:
Prof. Pierre Kerfriden
(Mines Paris - PSL UNiversity, France)
-
MuTINN for Fast Simulation of Fully Coupled Nonlinear Thermomechanical Behavior of Composite Structures
M. El Fallaki Idrissi * , G. Chatzigeorgiou , F. Meraghni , F. Chinesta -
Manifold learning using geometrical and topological descriptors for know-how based optimization.
D. Muñoz * , F. Chinesta , E. Nadal , O. Allix , J. Ródenas -
Accelerating FE^2 Computations on Finite Strain Regime through an On-the-fly Approach for (Model-free) Data-Driven Computational Mechanics
F. Rocha * , A. Platzer , A. Leygue , L. Stainier -
A Hierarchical Bayesian Approach for Multiscale Material Model Updating
S. Pyrialakos * , I. Kalogeris , V. Papadopoulos -
Data-Driven Nonlinear Diffusion
L. Stainier *
Main Organizer:
Prof.
Jelena Ninic
(University of Birmingham, United Kingdom)
Chaired by:
Dr. Brian Sheil
(University of Cambridge, United Kingdom)
,
Dr. Hassan Liravi
(University of Birmingham, United Kingdom)
-
Student
A Model-Independent Adaptive Sampling Approach for Surrogate Design in Geotechnical Engineering
Y. Yang * , A. López , A. Tsiampousi , D. Taborda -
Two-stage surrogate modelling and prototype test for digital twins of construction disturbance-stratum-existing tunnel system
Z. Liu * , Q. Ai -
Surrogate Modeling for Interactive Subrectangular Tunnel Track Design using the Cut Finite Element Method
H. Bui * , B. Cao , T. Nguyen , V. Pham , N. Do , J. Ninic -
Ensemble Machine Learning and Hyperstatic Reaction Method for the Design of Quasi-rectangular Tunnels
T. Nguyen * , B. Cao , V. Pham , H. Bui , N. Do -
Investigation of the Seismic Response of Multi-Storey Steel Structures Using Machine Learning Techniques
J. Sukhnandan * , N. Schetakis , G. Stavroulakis , G. Drosopoulos -
Student
Tunnel point cloud segmentation using deep learning and a novel synthetic data simulator
W. Yang * , T. Hill , W. Lin , B. Sheil
Main Organizer:
Ms.
Veronika Travnikova
(RWTH Aachen University, Germany)
Chaired by:
Ms. Veronika Travnikova
(RWTH Aachen University, Germany)
,
Dr. Matthias Möller
(Delft University of Technology, Netherlands)
-
A machine learning-based surrogate model for an efficient homogenization of open-porous materials
A. Klawonn * , M. Lanser , L. Mager , A. Rege -
Student
On The Combination Of Physically-Guided Neural Networks With Internal Variables And Differential Operators For The Discovery Of Nonlinear, Anisotropic And Heterogeneous Features In Material Sciences
R. Muñoz-Sierra * , J. Ayensa-Jiménez , M. Doblaré -
Identification of Viscoelastic Material Properties Using a Physics-Informed Neural Network Framework with Non-Uniform Complex Modulus
R. Teloli * , R. Tittarelli , P. Le Moal , E. Ramasso , M. Ouisse -
Physics-informed Deep Neural Networks towards Finite Strain Homogenization of Unidirectional Soft Composites
Q. Chen * , X. Du , G. Chatzigeorgiou , F. Meraghni , Z. Yang -
PINNS applied to vibrations of overhead line cables
J. Redford * , H. Pavy , F. Hafid
Main Organizer:
Prof.
Andrea Manzoni
(Politecnico di Milano, Italy)
Chaired by:
Mr. Paolo Conti
(Polytechnic University of Milan, Italy)
,
Dr. Mengwu Guo
(Lund University, Sweden)
-
Implementation of Hybrid AI Models for Complex Dynamical Systems of the Smart City
L. Chamoin * , Q. Li , S. Massala , M. Pica Ciamarra , S. Wu -
Integrating data-driven and physics-based approach for Bayesian inference of geomechanical model parameters
H. Cheng * -
Sparse Equation Discovery and Optimal Sensing with Guarantees
K. Manohar * -
Data-driven modeling of transitions in fluid flows using spectral submanifolds
B. Kaszás * , G. Haller -
Non-intrusive reduced order model for stochastic dynamical systems
K. Cheng * , I. papaioannou , D. Straub
Main Organizer:
Prof.
WaiChing Sun
(Columbia University, United States)
Chaired by:
Prof. WaiChing Sun
(Columbia University, United States)
-
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
R. Najafi * , S. Rezaei , N. Rauter -
Student
Uncertainty-Driven Phase-Field Mixtures of Constitutive Models
J. Storm * , W. Sun , I. Rocha , F. van der Meer -
Student
Learning to Optimize: Artificial Neural Networks Applied to Topology Optimization
F. Ebrahimian * , A. Badías , A. Ebey Thomas , F. Chinesta -
Student
Multi-Fidelity Surrogate Model for Representing Hierarchical Databases To Approximate Human-Seat Interaction
G. Huynh , N. Fahse * , J. Kneifl , J. Fehr -
A Neural Network Enhanced RKPM for Static and Dynamic Problems
J. Chen * , S. Casebolt * , Y. Wang -
Integrating form-finding and evolutionary optimization for gridshell construction
J. Melchiorre * , A. Manuello Bertetto , P. Trovalusci
Main Organizer:
Phd.
Stefania Fresca
(Politecnico di Milano, Italy)
Chaired by:
Dr. Federico Pichi
(SISSA, Italy)
,
Dr. Nicola Rares Franco
(MOX, Politecnico di Milano, Italy)
-
Keynote
Statistical Learning Theory for Neural Operators
N. Reinhardt , S. Wang , J. Zech * -
Student
Data-Driven Dimension Reduction Through Symmetry-Promoting Regularization
N. Zolman * , S. Otto , J. Kutz , S. Brunton -
Student
Graph Neural Diffusion for Accelerated Adaptive Mesh Refinement in Finite Element Methods
J. Rowbottom * -
Student
Neural Ordinary Differential Equations for Model Order Reduction of Stiff Systems
M. Caldana * , J. Hesthaven -
Student
A Parametric Framework for Kernel-Based Dynamic Mode Decomposition Using Deep Learning
K. Kevopoulos * , D. Ye
Main Organizer:
Dr.
Rebekah White
(Sandia National Laboratories, United States)
Chaired by:
Dr. Tim Wildey
(Sandia National Labs, United States)
,
Dr. Rebekah White
(Sandia National Laboratories, United States)
-
Using data-consistent inversion to build population-informed priors for Bayesian inference
R. White * , J. Jakeman , T. Wildey , T. Butler -
An AI-based integrated framework for solving inversion problems in computational science
C. Heaney * , D. Guo , B. Chen , C. Pain -
Goal-Oriented Projection Based Model Order Reduction for Data Assimilation
P. Mollo * , K. Veroy-Grepl -
Distributed Computing for Physics-based Data-driven Reduced Modeling at Scale
I. Farcas * , R. Gundevia , R. Munipalli , K. Willcox -
Student
Parameter Estimation in a Nonlinear Mechanical System Using an Adaptive Cubature Kalman Filter
L. Moyne * , E. Ghorbani , O. Tuysuz , F. Gosselin
Main Organizer:
Prof.
Laura Mainini
(Imperial College London, United Kingdom)
Chaired by:
Dr. Domenico Quagliarella
(CIRA, Italy)
,
Dr. Matteo Diez
(CNR-INM, Italy)
-
Keynote
Student
Explainable Deep Learning Model for Radioactive Contamination Detection in Atypical Atmospheric Conditions
A. Roblin * , J. Baccou , G. Dougniaux , S. Velasco-Forero -
Student
Finite-Element-Based Digital Twinning with Reduced Order Modelling
W. Bielajewa * , M. Baxter (née Tindall) , P. Nithiarasu -
Using Machine Learning Methods for Tracklet Association
P. Lenz * , K. Rack * , K. Pröll * , H. Fiedler * , T. Schildknecht
Main Organizer:
Dr.
Thibault Dairay
(Michelin, France)
Chaired by:
Dr. Fabien Casenave
(Safran, France)
,
Prof. iraj Mortazavi
(CNAM, France)
-
ML-Augmented CFD with Local Corrective Term
G. Jouan * , M. Schulz , D. Berger , S. Gavranovic , D. Hartmann -
Student
Combining Machine Learning With Finite Element Simulations For Fast Computation In Power Module Failure Analysis Due To Wire Bond Degradation
M. Ghrabli * , M. Bouarroudj , L. Chamoin , E. Aldea -
Real Time Reconstruction of High-Fidelity Simulations for Fault Prediction of Centrifugal Pump using Non-Intrusive Reduced Order Modeling
R. Kannamvar * , J. Marati , P. Rao , T. Wick -
Student
A Line Search Heuristic for Optimization Using On-the-fly Model Order Reduction
P. Luneau * , J. Deteix -
Student
Optimal Morphing for Reduced-Order Modeling Under Non-Parametrized Geometrical Variability
A. Kabalan * , F. Casenave * , F. Bordeu * , V. Ehrlacher * , A. Ern -
Student
Data-Driven Fluid Flow Prediction Using Conditional Score-Based Diffusion Models
W. Genuist * , E. Savin , F. Gatti , D. Clouteau
Main Organizer:
Prof.
Eleni Chatzi
(ETH Zurich, Switzerland)
Chaired by:
Prof. Eleni Chatzi
(ETH Zurich, Switzerland)
,
Mr. Konstantinos Vlachas
(ETH ZURICH, Switzerland)
-
Student
Prediction of Pipe-Jacking Forces Using a Physics-Constrained Neural Network
M. Rayner-Philipson * , B. Sheil , P. Zhang -
Student
Comparative Assessment of ML Algorithms for Reference-Free Damage Detection and Localization Using FBG Sensors in Self-Referencing Configuration
F. Omidi Moaf * , P. Fiborek , R. Soman -
Student
Neural calibration for hysteresis parameter estimation in bolted joint assemblies
E. Fuzaro de Almeida * , R. de Oliveira Teloli , S. da Silva -
Damage Detection and Localization of Damage using FBG sensors in Self-Referencing Configuration
F. Omidi Moaf * , R. Soman -
Leveraging digital twin strategy for predicting failures with limited training data
H. Gupta * , P. Kundu
Tue, 18/02/2025
19:00 - 20:00
19:00 - 20:00
Wed, 19/02/2025
07:30 - 08:00
07:30 - 08:00
Chaired by:
Prof. Stefan Kollmannsberger
(Bauhaus University Weimar, Germany)
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Chaired by:
Prof. Laurent STAINIER
(Centrale Nantes, France)
-
Keynote
K-Medoids-Accelerated Computational Homogenization
M. Shakoor * -
Modeling of Aerogel Microstructures through Deep Symbolic Regression
R. Abdusalamov * , R. Chandrasekaran , M. Itskov -
Student
LSTM-Based Design of Non-Symmetric Plate-Lattices
P. Meyer * , T. Tancogne-Dejean , J. Heidenreich , D. Mohr -
Learning Homogenized Tangent Operators in Hyperelasticity for Topology Optimization of Lattice Structures
B. Ribeiro Nogueira * , G. Allaire -
Rotation-Free Parametric Deep Material Network for Thermomechanical Behavior Prediction of Fiber Composites
T. Li * , L. Vilella Cardoso Ribeiro , H. Ji
Main Organizer:
Prof.
Jelena Ninic
(University of Birmingham, United Kingdom)
Chaired by:
Dr. Ba Trung Cao
(Ruhr University Bochum, Germany)
,
Prof. Jelena Ninic
(University of Birmingham, United Kingdom)
-
Keynote
Physics-informed Learning for Geotechnical Engineering: Potential and Challenges
P. Zhang * -
Student
Generation of Samples of Granular Material Using Diffusion Models
M. Hassan * , R. Cottereau , F. Gatti , P. Dec -
Student
Integrating Machine Learning Classification with Thermal Integrity Profiling for Concrete Pile Assessment
J. Sánchez Fernández * , A. Ruiz López , D. Taborda -
Prediction of shear modulus for clayey soils using ensemble machine learning method
J. Borderon * , J. Regnier , N. Dufour -
Bayesian Optimisation of Underground Railway Tunnels Using a Surrogate Model
H. Liravi * , J. Fakhraei , J. Ninic
Main Organizer:
Ms.
Veronika Travnikova
(RWTH Aachen University, Germany)
Chaired by:
Dr. Matthias Möller
(Delft University of Technology, Netherlands)
,
Ms. Veronika Travnikova
(RWTH Aachen University, Germany)
-
Domain Decomposition for Randomized Neural Networks
A. Heinlein * , T. Kapoor , R. Masri , M. Zeinhofer -
Student
Point Marching Adaptive Collocation Method for Physics-Informed Neural Networks
B. Giovanardi * , A. Heinlein , C. Visser -
Student
Training of Physics-Informed Neural Networks: a Multi-Criterion Viewpoint
N. Ricard * , M. Binois , R. Duvigneau -
SetPINNs: Set-based Physics-informed Neural Networks
M. Nagda * , P. Ostheimer , T. Specht , F. Rhein , F. Jirasek , M. Kloft , S. Fellenz -
Student
Neural Green's Operators for Parametric Partial Differential Equations
H. Melchers * , J. Prims * , M. Abdelmalik -
Student
Multifidelity Neural Operator for PDE Problems
G. Faza * , K. Shariatmadar , H. Hallez , D. Moens
Main Organizer:
Prof.
Andrea Manzoni
(Politecnico di Milano, Italy)
Chaired by:
Dr. Mengwu Guo
(Lund University, Sweden)
,
Prof. Andrea Manzoni
(Politecnico di Milano, Italy)
-
Keynote
Entropy-Consistent Generative Models for Fluid Flow Simulation
B. Sanderse * , N. Mücke -
Development of a Temporal Convolutional Network for Modeling of Clouds and Climate
V. Phillips * -
Online learning of time-varying systems with EKF-SINDY
L. Rosafalco * , P. Conti , A. Manzoni , S. Mariani , A. Frangi -
Dynamically Accurate Time Series Modeling Using Latent Differential Equations
C. Delie * , N. Vlaminck , C. Simal , N. Riche , C. Sainvitu , A. Sartenaer
Main Organizer:
Prof.
WaiChing Sun
(Columbia University, United States)
Chaired by:
Prof. Francisco Chinesta
(ESI GROUP Chair, ENSAM ParisTech, France)
,
Mr. Nicholas Zolman
(University of Washington, United States)
-
A data-driven neural network trained on CFD simulation results for RANS equations for site and wind resource assessment.
Z. Lakdawala * , H. Kassem , M. Nadeem -
A Three-Dimensional Machine Learning Volume Of Fluid Method
M. Pintore * , B. Després -
Decoding the Hidden Dynamics of Super-Arrhenius Hydrogen Diffusion in Multi-Principal Element Alloys via Machine Learning
F. Shuang * , P. Dey -
Physics-Informed Neural Networks Enhanced by Finite Element Analysis for System Identification of a Lab-Scale Nonlinear Cantilever Beam
E. Ghorbani * , M. Hamedi , M. Abda , Q. Dollon , F. Gosselin -
A machine learning interatomic potential for high entropy alloys
T. Li * -
Student
ML-Optimization Steel Structure: Offshore Wind Turbine
J. Alves Ribeiro , B. Alves Ribeiro , F. Pimenta , S. M. O. Tavares * , F. Ahmed
Main Organizer:
Phd.
Stefania Fresca
(Politecnico di Milano, Italy)
Chaired by:
Dr. Nicola Rares Franco
(MOX, Politecnico di Milano, Italy)
,
Phd. Stefania Fresca
(Politecnico di Milano, Italy)
-
Finite Element Neural Network Interpolation: - Interpretable and adaptive discretisation for solving PDEs
K. Skardova * , A. Daby-Seesaram , M. Genet -
GradINN: Gradient Informed Neural Network
F. Aglietti * , F. Della Santa , A. Piano , V. Aglietti -
Student
Multi-Fidelity Delayed Acceptance: Integrating Deep Learning Surrogate Modeling and Multilevel Delayed Acceptance for Efficient Bayesian Inverse Problem Solving
F. Zacchei * , P. Conti , A. Frangi , A. Manzoni -
Student
Reduced Particle in Cell method for the Vlasov-Poisson system using auto-encoder and Hamiltonian neural networks
R. Côte , E. Franck , L. Navoret , G. Steimer * , V. Vigon -
The Application of Neural Operators to Predict Skin Evolution After Burn Trauma
S. Husanovis , G. Egberts , A. Heinlein , F. Vermolen * -
Data-Driven Investigation of Unsteady Forces on Cylinder Resting on Smooth Wall
J. Harris * , K. Kuznetsov , F. Aristodemo
Main Organizer:
Dr.
Rebekah White
(Sandia National Laboratories, United States)
Chaired by:
Dr. Tim Wildey
(Sandia National Labs, United States)
,
Dr. Rebekah White
(Sandia National Laboratories, United States)
-
Efficient Numerical Methods for Inverse Problems Governed by Transport Equations
A. Mang * -
Student
Optimal Placement of Distributed Optic Fiber Sensors for Online Structural Health Monitoring with the Modified Constitutive Relation Error
J. Pérez * , L. Chamoin , J. Cortial , M. de Buhan , B. Soulier -
Student
Assessing the Identifiability of Lumped Parameter Thermal Models
A. M. Zadeh Fard * , S. Vanpaemel , M. Kirchner , F. Naets -
Student
An integrated approach for localizing blast damage in ship structures using inverse finite element method, anomaly index, and machine learning
J. Bardiani * , A. Manes , C. Sbarufatti -
Student
A Sparse State-Space Model for Electrical Circuits
T. Meissner * , B. Paskaleva , P. Bochev -
Student
Model parameter identification and damage detection using a modified dual Kalman filter with optic fiber sensor data
S. Farahbakhsh * , L. Chamoin , M. Poncelet
Main Organizer:
Dr.
Romit Maulik
(Penn State University, United States)
Chaired by:
Dr. Romit Maulik
(Penn State University, United States)
-
Keynote
Constrained Data Assimilation Using Ensemble Transform Kalman Filter and Reinforcement Learning for Physically Consistent Solutions
P. Behnoudfar * , N. Chen -
Recovering Robust Training of Physics-Informed Deep Operator Networks
A. Howard * , P. Stinis -
Model Aggregation: Combining PDE solvers through Empirical Variance Minimization
T. Bourdais * , H. Owhadi -
FNO: Frustrating neural operators and how to train them
Q. Sun * , F. Dietrich
Main Organizer:
Prof.
Raffaele D'Ambrosio
(University of L'Aquila, Italy)
Chaired by:
Prof. Raffaele D'Ambrosio
(University of L'Aquila, Italy)
,
Prof. Dajana Conte
(Università di Salerno, Italy)
-
Keynote
Efficient Numerical Solution of PDEs Models for Battery Electrodeposition
D. Conte , R. D'Ambrosio , G. Pagano , B. Paternoster * -
Numerical Solution of Fractional Differential Models for the Study of Batteries
A. Cardone * , D. Conte , G. Frasca-Caccia , B. Paternoster -
Low rank based optimization for dominant eigenvalues of specific physical systems
C. Scalone * -
Adapted numerical methods for stochastic PDEs models in battery electrodeposition
D. Conte * , R. D'Ambrosio , G. Pagano , A. Montano , B. Paternoster -
Stochastic numerics in battery modeling
R. D'Ambrosio *
Main Organizer:
Dr.
Javier E. Santos
(Los Alamos National Laboratory, United States)
Chaired by:
Dr. Joseph Bakarji
(American University of Beirut, Lebanon)
,
Dr. Teeratorn Kadeethum
(Sandia National Laboratories, United States)
-
Optimization of porosity distributions for shock physics using deep learning
M. Fernández-Godino * , M. Shachar , K. Korner , W. Schill , C. Jekel , J. Belof -
AI-Based Inverse Design for Control of Shock Wave Dynamics
J. Belof * , M. Armstrong , L. Benedict , S. Bland , Y. Choi , G. Fernandez , M. Hennessey , C. Jekel , D. Kline , K. Korner , J. Nguyen , R. Rieben , W. Schill , M. Shachar , D. Sterbentz , T. Stitt , J. Strucka , K. Sullivan , D. White -
Student
Graph Transformer-Based Flood Susceptibility Assessment of the French Riviera: Implications for Railway Infrastructure Resilience
S. Vemula * , F. Gatti , P. Jehel
Wed, 19/02/2025
11:00 - 11:30
11:00 - 11:30
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Chaired by:
Mr. Modesar Shakoor
(IMT Nord Europe, France)
-
Evaluation of Tensile Strength of Cement Paste using Reconstructed Microstructure from Generative Adversarial Network (GAN) and Bayesian Updating
D. Eum * , M. Azad , S. Kim , T. Han -
Student
Inverse analysis of defects in CFRP specimen with graph neural network using stress distribution of homogenized FEM
Y. Kojima * , K. Endo , Y. Harada , J. Yvonnet , M. Muramatsu -
Rank Reduction Autoencoders: A Novel Framework for Generative Design and Solutions in Composites
M. El Fallaki Idrissi * , I. Ben-Yelun , J. Mounayer , S. Rodríguez , C. Ghnatios , F. Chinesta -
Student
Data-Driven Modelling for Predicting Crystallization Kinetics in a Polyamide Matrix With Carbon Fibres
M. Palacios Suarez * , C. Ghnatios , A. Barasinski -
Understanding The Impact of Architectural Defects on Composite Materials Performance Using Artificial Intelligence
B. El Said * , I. Tretiak -
Data-Driven Multi-Scale Modeling Of Additive Manufacturing
W. Yan *
Main Organizer:
Prof.
Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
Chaired by:
Prof. Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
,
Prof. Gianluigi Rozza
(SISSA, Italy)
-
Keynote
Hybrid Intrusive/ML-based Reduced Order Model Applied to Shape Optimisation
R. Codina * , Z. Dar , J. Baiges -
Student
ROM-VMS formulation for environmental flows and wind energy applications
S. Dave * , A. Korobenko * -
Non intrusive interpolation and low rank approximation methods for nonlinear parametric models. Application to mechanical engineering.
R. Cloarec * , G. Dongmo , Y. Guevel , J. Cadou -
Enabling parametric ROMs with LRTD
A. Mamonov , M. Olshanskii * -
Improving Stability Factor Estimation for Reduced Basis Solutions through Adaptive Gaussian Process Modeling
S. Kang * , K. Lee
Main Organizer:
Ms.
Veronika Travnikova
(RWTH Aachen University, Germany)
Chaired by:
Ms. Veronika Travnikova
(RWTH Aachen University, Germany)
,
Dr. Matthias Möller
(Delft University of Technology, Netherlands)
-
Student
A graph-based machine learning approach to accelerate plasma simulations
S. Zhang * , M. Mallon , G. Gregori -
Student
Investigation of Physics-informed Neural Networks for Surrogate Modeling of Chromatographic Systems
R. Reifsteck * , E. von Lieres , A. Jupke -
Student
Physics-Informed Neural Networks Based on DeepONet for Ocean Wave Propagation
J. Wang * , J. HARRIS , M. YATES -
Physics informed neural networks for shunted piezoelectric systems
A. Mouratidou * , M. Daraki , G. Drosopoulos , G. Foutsitzi , W. Larbi , J. Deü , R. Ohayon , G. Stavroulakis
Main Organizer:
Prof.
Andrea Manzoni
(Politecnico di Milano, Italy)
Chaired by:
Mr. Paolo Conti
(Polytechnic University of Milan, Italy)
,
Dr. Mengwu Guo
(Lund University, Sweden)
-
Student
Autoencoders with Energy-Based Kernels for dimensionality Reduction in Viscoelastic Flow
F. Amaral * , C. Oishi , S. Otto , N. Kutz , S. Brunton -
Student
Neural Operator-based Model Approximation and Discovery
S. Garmaev * , O. Fink * -
ML-Based Acceleration Strategies for FSI Simulation of Deformable Microcapsule Dynamics
L. Wicher * , C. Dupont , A. Salsac , F. De Vuyst -
Data-Driven Strategy for the Identification of Model and Experimental Uncertainties of Electroacoustic Absorbers Using Autoencoders
L. Ferreira * , R. Teloli , E. de Bono , M. Ouisse
Main Organizer:
Dr.
Emmanuel Baranger
(CNRS, France)
Chaired by:
Dr. Emmanuel Baranger
(CNRS, France)
,
Mr. Kian Abdolazizi
(Hamburg University of Technology, Germany)
-
Experimental Validation of the EUCLID Framework for Automated Discovery of Hyperelastic Material Models
A. Abbasi * , M. Ricci , P. Carrara , M. Flaschel , S. Kumar , S. Marfia , L. De Lorenzisa -
Student
Dual-stage framework for constitutive modeling of hyperelastic materials based on data-driven identification and neural networks
L. Linden * , K. Kalina * , J. Brummund * , M. Kästner * -
Convex neural networks learn generalized standard material models
M. Flaschel * , P. Steinmann , L. De Lorenzis , E. Kuhl -
Constitutive Modeling of Anisotropic Elasticity and Magneto-Elasticity with Neural Networks
K. Kalina * , J. Brummund , H. Roth , P. Gebhart , W. Sun , M. Kästner -
Student
Data Driven Material Modeling for Human Bone Tissue in the Context of Automotive Crash Simulation
C. Saenz-Betancourt * , D. Draper , S. Peldschus
Main Organizer:
Phd.
Stefania Fresca
(Politecnico di Milano, Italy)
Chaired by:
Dr. Federico Pichi
(SISSA, Italy)
,
Phd. Stefania Fresca
(Politecnico di Milano, Italy)
-
Graph Neural Network Surrogates to leverage Mechanistic Expert Knowledge for Reliable and Immediate Pandemic Response
A. Schmidt , H. Zunker , A. Heinlein , M. Kühn * -
Student
Model Order Reduction with GNN-Based Reduced Bases for Unparametrized Geometries
V. Matray * , F. Amlani , F. Feyel , D. Néron -
3D variational autoencoder to parameterise microstructure as inputs for crystal plasticity surrogate models
M. White * , M. Atkinson , A. Plowman , P. Shanthraj
Main Organizer:
Prof.
Azzeddine Soulaimani
(École de technologie supérieure, Montréal, Canada)
Chaired by:
Prof. Azzeddine Soulaimani
(École de technologie supérieure, Montréal, Canada)
,
Prof. Serge Prudhomme
(Polytechnique Montréal, Canada)
-
Non-diffusive neural network method for hyperbolic conservation laws
E. Lorin * -
Student
Physics-Informed Neural Networks for Solving the Shallow-Water Equations
M. Mullins * , A. Soulaïmani -
Hybrid physics-informed neural network based multiscale solver for multi-fidelity upscaling operator learning
D. Korolev * , M. Hintermüller -
Student
Application of Physics-Informed Neural Networks in The Nonlinear Dynamic Analysis of Space Trusses
P. de Mattos Pimenta , L. Fernando Alves Macedo * -
Student
Linear Operator Learning using GreenONets and a Multi-level Neural Network approach
C. Bilodeau * , Z. Aldirany , R. Cottereau , S. Prudhomme -
Student
Deep Neural Operators for Inversion and Surrogate Modeling in Unsaturated Flow
H. Kamil * , A. Soulaïmani , A. Beljadid
Main Organizer:
Dr.
Romit Maulik
(Penn State University, United States)
Chaired by:
Dr. Romit Maulik
(Penn State University, United States)
,
Dr. Panos Stinis
(Pacific Northwest National Laboratory, United States)
-
Keynote
Combining Graph Networks and Reinforcement Learning for Consistent Turbulence Modeling
M. Kurz * , B. Sanderse -
Student
Evaluation of Various Neural Network Approaches to Solving Partial Differential Equations
S. Ezzehi * , V. Ehrlacher , G. Enchéry -
Student
Latent Dynamics Learning for Time-Continuous Reduced Order Models of Parametrized PDEs
N. Farenga * , S. Brivio , S. Fresca , A. Manzoni -
Learning Stochastic Closures via Conditional Diffusion Model and Neural Operator
X. Dong * , C. Chen , J. Wu
MS041B Mathematical modeling, numerical simulations and AI techniques to enhance battery lifetime II
Main Organizer:
Prof.
Raffaele D'Ambrosio
(University of L'Aquila, Italy)
Chaired by:
Prof. Dajana Conte
(Università di Salerno, Italy)
,
Prof. Raffaele D'Ambrosio
(University of L'Aquila, Italy)
-
Keynote
A road map towards geometric bulk-surface PDE inspired artificial cells
A. Madzvamuse * , F. Yang -
Battery Modeling Through Bulk-Surface PDEs
M. Frittelli * , I. Sgura , M. Quarta , A. Madzvamuse , B. Bozzini -
Student
Parameter estimation in battery modeling: Deep-Learning algorithms for metal growth and voltage profiles
M. Quarta * , I. Sgura , B. Bozzini , R. Barreira -
Student
A Step-by-Step Time-Discrete Pinn for a Lithium-Ion Battery Model
F. Colace * , D. Conte , G. Pagano , B. Paternoster , C. Valentino
Main Organizer:
Dr.
Javier E. Santos
(Los Alamos National Laboratory, United States)
Chaired by:
Dr. M. Giselle Fernández-Godino
(Lawrence Livermore National Laboratory, United States)
,
Dr. Javier E. Santos
(Los Alamos National Laboratory, United States)
-
Keynote
Modelling Local Steady-State and Time-Dependent Reactive Dynamics in Porous Media by Multiscale Neural Networks
A. Marcato * , A. Lombardo Pontillo , G. Boccardo , J. Santos , A. Franco , D. Marchisio -
Upscaling Microscale Flow Effects Integrating Deep Learning and Differentiable Solvers
A. Macato * , D. O'Malley , E. Guiltinan , H. Viswanathan , J. E. Santos -
Developing a Foundation Model for Predicting Material Failure
A. Marcato * , J. Santos , A. Pachalieva , G. Kai , R. Hill , E. Rougier , Q. Kang , J. Hyman , A. Hunter , J. Chua , E. Lawrence , H. Viswanathan , D. O'Malley -
Keynote
Discovering dimensionless relations from data in complex fluids
L. Wayzani , C. Oishi , J. Bakarji *
Wed, 19/02/2025
13:30 - 14:45
13:30 - 14:45
Chaired by:
Prof. Ludovic CHAMOIN
(ENS Paris-Saclay, France)
Chaired by:
Prof. Trond Kvamsdal
(Norwegian University of Science and Technology (NTNU), Norway)
Wed, 19/02/2025
15:45 - 16:15
15:45 - 16:15
Main Organizer:
Prof.
Julien Yvonnet
(Universite Gustave Eiffel, France)
Chaired by:
Mr. Felipe ROCHA
(Université Paris-Est Créteil, France)
-
Student
Machine Learning-Based Scale Bridging for Permeability Prediction of 3D Fibrous Structures
D. Natarajan * , T. Schmidt , M. Duhovic , A. Dengel -
Student
Tailored Gaussian Process Kernels for Learning Representative Volume Elements (RVE) From EBSD Texture Data of Polycrystals
B. Li * , P. Breitkopf , L. Cauvin -
Student
PDE Learning for Continuum Dislocation Dynamics
N. Heinemann * , T. Hochrainer -
Physically Informed Koopman Analysis of Evolving Dislocation Data
T. Hochrainer * , B. Heininger , N. Heinemann , G. Kar -
Student
Data-Driven Surrogate Modelling Approach for Combining Simulation and Experimental Data for Crystalline Microstructures
B. Katzer * , K. Schulz -
Digital Twin of a Reheat Furnace Integrating Machine Learning and Chemical Reactor Networks
S. Shubham * , J. Lumbreras , L. Pachano , D. Mira
Main Organizer:
Prof.
Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
Chaired by:
Prof. Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
,
Prof. Gianluigi Rozza
(SISSA, Italy)
-
Keynote
Student
A Mesh Based Graph Neural Network Approach for Surrogate Modeling of Free Surface Fluid Flows
F. Lanteri * , M. Cremonesi -
Reduced-Order Modeling for transistor overheating study in a downhole telemetry board
J. Araujo da Silva * , J. Jith Chakkungalthodikayil , S. Salvadori Velu , V. Nguyen , A. Battentier , V. Singh , D. Andres Tinoco Estrada -
Student
Towards Algorithmic Framework for Nonlinear Reduced Order Modeling in Industrial Digital Twin Applications
P. Malleval * , R. Scanff , D. Néron -
Model Reduction and Scientific Machine Learning for the Urban Microclimate
G. Stabile * -
Student
Hard-Constrained Mass Conserving Neural Network Modelling for Industrial Manufacturing Processes
B. Boussaid * , C. Ghnatios , M. JEBAHI , R. Bonidal , F. Chinesta
Main Organizer:
Prof.
Johannes Gerstmayr
(University of Innsbruck, Austria)
Chaired by:
Prof. Johannes Gerstmayr
(University of Innsbruck, Austria)
,
Dr. Grzegorz Orzechowski
(LUT University, Finland)
-
Student
MBD-NODE: Physics-informed data-driven modeling and simulation of constrained multibody systems
J. Wang * , S. Wang , H. Unjhawala , J. Jinlong Wu , D. Negrut -
Classical Time Integration Schemes for Mechanical Systems Modeled With Artificial Neural Networks
A. Zwölfer * , B. Todorov , T. Slimak -
Student
Discovering Antagonists in Network of Robots
I. Wenger * , H. Ebel , P. Eberhard -
Student
Generating Digital Twins of Multibody Systems Using Motion Capture, IMU Sensing, and an LLM
S. Wang * , J. Wang , J. Wu , R. Serban , D. Negrut -
Student
Leveraging Multiple Specialized Neural Networks to Improve Extrapolation of Mechanical System Dynamics
T. Slimak * , B. Todorov , A. Zwölfer -
Student
Data-Driven Design Assistance for the Synthesis of Task-Specific Four-Bar Linkages
B. Röder * , H. Ebel , P. Eberhard
Main Organizer:
Prof.
Ioannis Kalogeris
(National Technical University of Athens, Greece)
Chaired by:
Prof. Vissarion Papadopoulos
(National Technical University Of Athens, Greece)
,
Dr. Gerasimos Sotiropoulos
(N.T.U.A., Greece)
-
Student
Automated Multigrid Design Using Genetic Programming For Nonlinear Thermoelastic Finite Element Simulations
D. Parthasarathy * , T. Bevilacqua , A. Klawonn , H. Köstler , M. Lanser -
A Dynamic Adaptive Learning Strategy for Enhanced Surrogate Modeling inThermodynamic-CFD Coupling
Y. KEDDAD * , B. DELHOM , R. GAYNO , J. GRATIEN , T. FANEY , A. MICHEL -
AI-Enhanced Surrogate Models for Aerodynamic and Multidisciplinary Design Optimization Assisted by Multi-Fidelity and Offline Data
D. Maruyama * -
Student
Simulation-Based and Statistical Tools for Uncertainty Quantification in a Digital Twin of a Steam Generator
E. Jaber * , V. Chabridon , E. Remy , M. Mougeot , D. Lucor -
TORCHDA: Data assimilation with neural networks
S. Cheng * , J. Min , K. Wang , S. Dance , M. Piggot , M. Bocquet , R. Arcucci -
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression
A. Kammonen * , A. Pandey , E. von Schwerin , R. Tempone
Main Organizer:
Dr.
Emmanuel Baranger
(CNRS, France)
Chaired by:
Prof. Oliver Weeger
(TU Darmstadt, Germany)
,
Prof. Ludovic CHAMOIN
(ENS Paris-Saclay, France)
-
Student
Implicit Constitutive Modelling: Training Gated-Recurrent Units with Unlabeled Data and the Virtual Fields Method
R. Lourenço * , A. Andrade-Campos , P. Georgieva -
Student
Extended Minimal State Cells (EMSC): Self-Consistent Recurrent Neural Networks for Rate- and Temperature Dependent Materials
J. Heidenreich * , P. Meyer , D. Mohr -
Student
Neural Network Meets Phase-Field: A Hybrid Fracture Model
F. Dammass * , K. Kalina , M. Kästner -
Student
A Data Informed Ductile Damage Model for Metallic Materials
Y. Bao * , C. Ling , D. Li , E. Busso
Main Organizer:
Dr.
Shenglin Huang
(Nanyang Technological University, Singapore)
Chaired by:
Dr. Shenglin Huang
(Nanyang Technological University, Singapore)
,
Prof. Beatriz Moya
(ENSAM Paris, France)
-
Keynote
Deep learning of structure-preserving coarse graining models
Q. Hernández * , N. Trask -
Strutcure preservation in neural networks and for approximating dynamics
E. Celledoni * -
Coupled Lie-Poisson Neural Networks (CLPNets): Data-Based Computing of Coupled Hamiltonian Systems
V. Putkaradze * -
Incorporating geometric biases into machine learning models for dynamical systems
B. Tapley * -
Structure-informed model reduction of Maxwell-type systems
A. Gruber * , J. Actor * , E. Cyr *
Main Organizer:
Prof.
Azzeddine Soulaimani
(École de technologie supérieure, Montréal, Canada)
Chaired by:
Prof. Azzeddine Soulaimani
(École de technologie supérieure, Montréal, Canada)
,
Prof. Serge Prudhomme
(Polytechnique Montréal, Canada)
-
Student
A Hybrid Deep Ritz Method for Solving Generalized Monge-Ampère Equations
A. Peruso * , A. Caboussat -
Student
DryMAMBA: simulation and predction in drying process in the potato by State Space model
A. Liang * , D. Zhang , F. Jia -
Student
Recurrent Neural Network-based error estimator in spectral methods for solving PDEs
A. Liatsetskaya * , Z. Monfared , C. Datar , F. Dietrich -
Digital Twin Framework application for Aeronautical Hydrogen Microinjectors Design
A. Deshons * , J. Leparoux , G. Fournier , F. Monnier , A. Vandel , G. Cabot , F. Grisch , N. Treleaven
Main Organizer:
Prof.
Sergio Tavares
(Universidade de Aveiro, Portugal)
Chaired by:
Prof. Sergio Tavares
(Universidade de Aveiro, Portugal)
,
Eng. Natacha Rosa
(University of Aveiro, Portugal)
-
Student
A Staggered Approach for Hidden Stress Field Inference and Constitutive Model Discovery
G. Manyam * , V. Narouie , H. Wessels , K. Andreas Meyer -
Real-Time Defect Detection and Segmentation in Composite Materials Using YOLOv8
N. Motamedi * , D. Vasiukov -
Student
Conditional and Unconditional Generation of Seismic Signals Using Diffusion Model
H. Gabrielidis * , F. Gatti , S. VIalle
Main Organizer:
Prof.
Robin Bouclier
(INSA Toulouse, France, France)
Chaired by:
Prof. Robin Bouclier
(INSA Toulouse, France, France)
-
Uniform and Isotropic Random Patterns for Digital Image Correlation
S. Bossuyt * -
Student
Development of a novel test design incorporating strain path changes for the inverse calibration of elastoplastic models
J. Henriques * , A. Andrade-Campos , J. Xavier -
Student
Building a Toolset to Calibrate Models from Heterogeneous Experimental Data: What are the Industrial Requirements?
A. Vintache * , R. Gras , F. Mathieu , F. Hild -
Student
Validation of a Method Using Tapered Specimens to Characterize Static Strain Aging
V. Björklund * , S. Bossuyt
Main Organizer:
Prof.
Chady Ghnatios
(University of North Florida, United States)
Chaired by:
Prof. Chady Ghnatios
(University of North Florida, United States)
,
Dr. Frederic Panthier
(Tenon Hospital, France)
-
Keynote
Choice of Distances in Non Parametric Statistics, Survival Data and Statistical Learning via Neural Networks. Application to Alzheimer Disease..
C. Huber * -
Student
Graph Neural Networks for Anatomical Personalisation of Hepatic Digital Twins
L. Tesan * , E. Cueto -
Predicting Kidney Allograft Survival Using Pre-Transplant Data
R. Attieh * , C. Ghnatios -
Multimodal Deep Learning for Dynamic and Static Neuroimaging: Integrating MRI and fMRI for Alzheimer’s Disease Analysis
A. Kujur * , Z. Monfared , F. Dietrich
Thu, 20/02/2025
07:30 - 08:00
07:30 - 08:00
Chaired by:
Prof. Vissarion Papadopoulos
(National Technical University Of Athens, Greece)
Main Organizer:
Mr.
Matteo Torzoni
(Politecnico di Milano, Italy)
Chaired by:
Prof. Andrea Manzoni
(Politecnico di Milano, Italy)
,
Mr. Matteo Torzoni
(Politecnico di Milano, Italy)
-
Keynote
Algorithmic decision-making for intervention planning of degrading engineering systems
C. Andriotis * -
Student
Data-Driven Digital Twinning for Railway Network Optimal Maintenance Planning with Multi-Agent Reinforcement Learning Solutions
G. Arcieri * , G. Duthé , C. Muller , D. Haener , E. Chatzi -
Student
Toward Dynamic Digital Twin: Enhancing Model Accuracy with Adaptive Sensor Steering Strategies.
C. Ogbodo * , T. Rogers , M. Dal Borgo , D. Wagg -
Predictive Digital Twins for Health Monitoring: From Structural Safety to Personalized Medicine
M. Torzoni * , M. Tezzele , M. Massi , D. Carnevali , E. Varetti , E. Di Angelantonio , S. Mariani , F. Ieva , A. Manzoni , K. Willcox
Main Organizer:
Prof.
Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
Chaired by:
Prof. Gianluigi Rozza
(SISSA, Italy)
,
Prof. Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
-
Massively-parallel and GPU-accelerated DMD: an Implementation in the Python Library Heat
F. Hoppe * , P. Knechtges , A. Rüttgers -
Accelerating Finite Element Analysis Through Precise Matrix Preidiction Based on Deep Learning
G. Yoon * , H. Jin , Y. Song -
Student
A Streaming, Distributed Out-of-Core SVD Library on Hybrid CPU/GPU Architectures Applied to Fluid Mechanics Data
Y. Ajanif * , L. Silva , L. Lestandi -
Leveraging the Cross-Entropy Method for Model Calibration and Data-Driven Modeling
A. Cunha Jr * , M. Issa , J. Basilio , J. Telles Ribeiro -
Integrating DASH with Jupyter Notebooks: an Approach for Effective SciML Results Communication
S. Guo * -
A High-Performance FNO pipeline for Three-phase Flow in Porous Media
G. Barros , R. Silva , A. Oliveira , E. Santos , R. Freitas , D. Velveti , X. Wu , F. Rochinha , A. Coutinho *
Main Organizer:
Prof.
Johannes Gerstmayr
(University of Innsbruck, Austria)
Chaired by:
Dr. Andreas Zwölfer
(Technical University of Munich, Germany)
,
Prof. Henrik Ebel
(LUT University, Finland)
-
Keynote
Student
Slide: A Machine-Learning Based Method for Forced Dynamic Response Estimation of Multibody Systems
P. Manzl * , A. Humer , Q. Khadim , J. Gerstmayr -
ChronoLLM: Using LLMs to Generate Chrono Digital Twins and to Judge Their Suitability for Simulation
J. Wang * , H. Zhang , S. Wang , H. Unjhawala , K. Slaton , R. Serban , J. Wu , D. Negrut -
Hybrid Friction Modeling In Mechanical Systems
S. Han * , G. Orzechowski , M. Wojtyra , J. Kim , A. Mikkola -
Virtual Labs with Large Language Models and Multibody Simulation
T. Möltner * , M. Pieber , P. Manzl , J. Gerstmayr -
Modelling Deformation Response of a Multibody Dynamic System using LSTM Model
S. Baisthakur * , B. Fitzgerald
Main Organizer:
Prof.
Ioannis Kalogeris
(National Technical University of Athens, Greece)
Chaired by:
Prof. Vissarion Papadopoulos
(National Technical University Of Athens, Greece)
,
Dr. Gerasimos Sotiropoulos
(N.T.U.A., Greece)
-
High-resolution Coastal Change Detection using AI and HPC
W. Koslow * , K. Rack , F. Hoppe , A. Ruettgers , L. Dell Amore , P. Rizzoli -
Student
Virtual Real-time Monitoring of Metal Laser-based Direct Energy Deposition using an AI-Driven Simulation Approach
R. Ramma * , A. Molotnikov , C. Moreira , M. Chiumenti , T. Herzog , R. Das -
Prediction of Random Fields of Mechanical Properties from Microstructure Images using Convolutional Neural Networks
P. Gavallas , G. Stefanou * , D. Savvas , C. Mattrand , J. Bourinet -
Blockchain Digital Twin approach to modeling HPC Data Center
M. CHINNICI * , D. de chiara , M. antonini , G. guarnieri , G. santomauro , L. acampora , F. genovese , G. PONTI , L. telesca -
Student
Properly constrained and approximated reference prior for efficient and robust Bayesian learning of seismic fragility curves
A. Van Biesbroeck * , N. Baillie , C. Feau -
Ai Enhanced Partitioned Solution Scheme with Applications in Tumour Growth Models
G. Sotiropoulos * , K. Atzarakis , V. Papadopoulos
Main Organizer:
Dr.
Emmanuel Baranger
(CNRS, France)
Chaired by:
Dr. Karl Kalina
(TU Dresden, Germany)
,
Prof. Laura De Lorenzis
(ETH Zurich, Switzerland)
-
Isotropic Polyconvex Hyperelastic Energies and Hulls: A Novel Neural Network Framework Satisfying the Universal Approximation Theorem
G. Geuken * , P. Kurzeja , D. Wiedemann , J. Mosler -
On the role of interpretability of data-driven constitutive modeling by Constitutive Artificial Neural Networks
K. Abdolazizi * , C. Cyron , K. Linka -
Student
A Blind Source Separation Perspective on the Model Identification Problem for Constitutive Material Laws
L. Mabileau * , C. Jailin , E. Baranger -
Symmetric and Parameterized Physics-Augmented Neural Networks for Hyperelastic Constitutive Modeling in Beam Theory
J. Schommartz * , D. Klein , J. Alzate Cobo , O. Weeger -
Neural Networks meet Hyperelasticity: On Benefits and Limits of Polyconvexity
D. Klein * , O. Weeger
Main Organizer:
Dr.
Shenglin Huang
(Nanyang Technological University, Singapore)
Chaired by:
Dr. Shenglin Huang
(Nanyang Technological University, Singapore)
,
Prof. Beatriz Moya
(ENSAM Paris, France)
-
Keynote
Symbolic pruning with projected neural additive model for polymer-bonded energetic materials
N. Phan * , W. Sun -
Learning Latent Dynamics With Second-Order Time Derivatives
R. Stephany * , Y. Choi -
Student
Noether’s razor: Learning conserved quantities
T. van der Ouderaa * , M. van der Wilk * , P. de Haan * -
Student
Codiscovering Graphical Structure and Functional Relationships within Data: A Gaussian Process Framework for Connecting the Dots
T. Bourdais * -
Student
Preserving Symmetries in Neural Closure Models for Large-Eddy Simulation
S. Agdestein * , B. Sanderse
Main Organizer:
Dr.
Dimitrios Loukrezis
(Siemens AG, Germany)
Chaired by:
Dr. Dimitrios Loukrezis
(Siemens AG, Germany)
,
Prof. Dimitris Giovanis
(Johns Hopkins University, United States)
-
Solving Time-Dependent Partial Differential Equations with a Random Feature Neural Ansatz
C. Datar * , A. Rahma , F. Dietrich -
Knowledge Distillation from Unstructered Data using Reliability Aware Physically-Guided Neural Networks
J. Ayensa-Jiménez * , R. Muñoz-SIerra , M. Doblare -
A Sobolev neural network with adaptive residual weighting scheme as a surrogate for computational mechanics
A. Kilicsoy * , M. Valdebenito , M. Faes -
Student
Digital twins empowered by Thermodynamics-Informed Neural Networks
A. Tierz * , I. Alfaro , D. Gonzalez , F. Chinesta , E. Cueto -
Student
Physics-Augmented Model Order Reduction for Industrial Structural Digital Twin Applications
D. Fleres * , D. De Gregoriis , O. Atak , F. Naets -
Student
AI-SOLVE: Accelerating Computational Science with a Machine Learning-Enhanced Linear Algebra Library
I. Kalogeris * , G. Sotiropoulos , K. Atzarakis , G. Stavroulakis , V. Papadopoulos
Main Organizer:
Prof.
Trond Kvamsdal
(Norwegian University of Science and Technology (NTNU), Norway)
Chaired by:
Prof. Trond Kvamsdal
(Norwegian University of Science and Technology (NTNU), Norway)
,
Dr. Eivind Fonn
(SINTEF Digital, Netherlands)
-
Digital Twinning in the European Naval Industry
A. Rullan Contreras * , C. Baixas , A. Facio Valero , I. Pena Regueiro , P. Gualeni , J. Ruiz Herrer , J. Silvera Vez , F. W. Lindberg -
Hybrid real-time structural ROM of the RV Gunnerus
E. Fon * , T. Kvamsdal , K. Okstad , T. Rølvåg -
Discrepancy Modeling and Physical Models Augmentation Using Machine Learning Algorithms
C. Ghnatios * , F. Chinesta -
Corrective Source Term Approach for Turbulent Flow Problems
V. Tsiolakis * , M. Tabib , A. Rasheed , T. Kvamsdal -
Digital Twin for Risk-Based Structural Integrity Management of Offshore Structures
S. Li * -
Student
Data Driven Uncertainty Quantification of a Reduced Order Model
V. Halonen * , T. Kvamsdal , A. Rasheed , I. Pölönen , V. Tsiolakis
Main Organizer:
Prof.
Robin Bouclier
(INSA Toulouse, France, France)
Chaired by:
Dr. Julien RETHORE
(CNRS, France)
-
Digital Twin Of Large High Pressure Die Casting Parts Using A Tomograph Simulation
L. Simon * , J. Dufour , F. Gaté , J. Genée , L. Penazzi -
Student
Uncertainty Quantification of Surface Microplasticity Using Stochastic Subsurface Microstructure Generation
S. Engel * , J. Quinta da Fonseca , P. Shanthraj -
Understanding Ice Fracture Using Digital Image Correlation
W. Ahmad * , S. Bossuyt , J. Tuhkuri -
On the Construction of CAD-based Twins of Lattice Structures from Tomographic Images
D. Bichet , J. Passieux , J. Périé , R. Bouclier *
Main Organizer:
Prof.
Eleni Chatzi
(ETH Zurich, Switzerland)
-
Student
Real-Time Process Monitoring Using Hybrid Methods: Set-Encoders and Physics-Informed Neural Networks
M. ELAARABI * , S. COMAS-CARDONA * , D. BORZACCHIELLO * , P. LE BOT * -
Student
Physics-Informed Machine Learning for Parameter Identification on Shallow-Water Equations
H. Boulenc * , R. Bouclier , P. Garambois , J. Monnier -
Physics-informed neural networks for solving of unsaturated groundwater flow
I. Đepina * , H. Gotovac -
Physics Informed-Neural Network for Modelling the Glucose-Insulin System in Type 1 Diabetes
V. Singh * , R. Mallick , S. Saxena , D. Harusampath , K. Kant Mishra , R. Munusamy , A. Prasad Shrivastava -
Domain Decomposition with Bayesian Physics-Informed Neural Networks
J. Figueres * , J. Vanderhaeghen * , K. Morozovska , K. Shukla
Thu, 20/02/2025
11:00 - 11:30
11:00 - 11:30
Main Organizer:
Mr.
Matteo Torzoni
(Politecnico di Milano, Italy)
Chaired by:
Mr. Matteo Torzoni
(Politecnico di Milano, Italy)
,
Prof. Andrea Manzoni
(Politecnico di Milano, Italy)
-
Integrating Digital Twin Technology, Multiscale Mechanics, AI, and Human Factors for Enhanced Safety in the Energy Transition
H. Tan * -
Student
Adaptive Reduced order modeling for engineering decision support
K. Vlachas * , A. Kamariotis , E. Chatzi -
Student
Graph Neural Networks for CFD Space and Time Prediction: an Application to Solar Panels
T. Michel * , P. Garnier , P. Meliga , E. Hachem -
Student
A MPC Framework for Smart Predictive Digital Twins enhancing Demand-Side-Management in Water Supply Systems
A. Reis * , A. Andrade-Campos , C. Antunes , M. Lopes
Main Organizer:
Prof.
Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
Chaired by:
Prof. Gianluigi Rozza
(SISSA, Italy)
,
Prof. Alvaro Coutinho
(COPPE/Federal University of Rio de Janeiro, Brazil)
-
Enabling Uncertainty Quantification in Seismic Images Employing Generative Variational Autoencoders
C. Barbosa , R. Freitas , C. Silva , B. Silva , F. Rochinha * , A. Coutinho -
Student
Learning Biases in Plasticity Modelling
M. M Iparraguirre * , I. Alfaro , D. Gonzalez , F. Chinesta , E. Cueto -
A Study on the Possibility of Developing Foundational Models for the Simulation of Physical Phenomena
A. Tierz * , M. Martinez Iparraguirre , I. Alfaro , D. Gonzalez , F. Chinesta , E. Cueto -
General framework to apply the CLN method to any magnetoquasistatic potential formulations
W. Chen * , T. Henneron * , S. Clénet * -
Machine Learning Approaches to Support Design for Crashworthiness
F. Duddeck * -
Inverse Estimation of the Centerline Boundary Conditions in Confined Planar Mixing Layers
M. Ferreira , J. Assis , V. Egger , M. Grave * , C. Pacheco , L. Alves
Main Organizer:
Prof.
Johannes Gerstmayr
(University of Innsbruck, Austria)
Chaired by:
Prof. Dan Negrut
(University of Wisconsin-Madison, United States)
,
Mr. Peter Manzl
(Universität Innsbruck, Austria)
-
When Nonholonomic Systems Meet Machine Learning and Control: A Curse of Geometry?
H. Ebel * -
Physics Informed Neural Network for Feedforward Control of a 3-DOF Manipulator with Flexure Joints
B. Harbers , R. Aarts * -
Student
Data-driven Model For Clearance Detection Using Neural Networks
V. Nguyen * , A. Rodríguez González , G. Orzechowski , A. Mikkola , J. Kim , F. González -
Student
On Automated Calibration of Multibody Simulators with Non-ideal Constraints
H. Marklund * , M. Servin * , M. Larsson * -
Student
AI-driven Decision-Making Strategies for Autonomous Excavation Systems
O. Rogov * , A. Liuha , G. Orzechowski
Main Organizer:
Mr.
Leon Herrmann
(Technische Universität München, Germany)
Chaired by:
Mr. Leon Herrmann
(Technische Universität München, Germany)
,
Prof. Stefan Kollmannsberger
(Bauhaus University Weimar, Germany)
-
Keynote
Reinforcement Learning for Solving Optimal Design Tasks in Computational Mechanics
D. Wolff * , A. Popp -
Student
Integrating Bayesian Inference with Data Driven DCGAN for Unsupervised Anomaly Detection: Case of Catenary Pole
Y. Alemu * , T. Lahmer , C. Walther -
Evaluating the Impact of Constitutive Models on Xgboost Performance for Material Parameter Identification
P. Prates * , D. Mitreiro , A. Campos -
Wave Equation Solvers Using Neural Networks in Inverse Problems
Q. Sun * , D. Singh , L. Herrmann , S. Kollmannsberger , F. Dietrich -
Student
Accelerating full waveform inversion by transfer learning
D. Singh * , L. Herrmann , T. Buerchner , Q. Sun , F. Dietrich , S. Kollmannsberger
Main Organizer:
Dr.
Emmanuel Baranger
(CNRS, France)
Chaired by:
Prof. Laura De Lorenzis
(ETH Zurich, Switzerland)
,
Dr. Emmanuel Baranger
(CNRS, France)
-
Physics-augmented neural networks for hyperelastic material modeling with softening
J. Fey * , D. Klein , O. Weeger -
Addressing Compressibility in Hyperelastic Materials: A Comparative Study of Classical Constitutive Laws and Physics-Augmented Neural Networks
L. Maurer * , S. Eisenträger , D. Juhre -
Unsupervised Learning of Constitutive Model With Neural Networks and Sparse Identification of Internal Variables
A. Benady * , B. Emmanuel , C. Jailin , L. Chamoin -
Data-driven modeling based on the Constitutive Relation Error for history-dependent materials
P. LADEVEZE * , L. CHAMOIN -
Differentiable Constitutive Modeling in a Machine Learning-Compatible Framework
J. Bleyer *
Main Organizer:
Dr.
Shenglin Huang
(Nanyang Technological University, Singapore)
Chaired by:
Prof. Beatriz Moya
(ENSAM Paris, France)
,
Dr. Shenglin Huang
(Nanyang Technological University, Singapore)
-
A Metriplectic Transformer Architecture for Dissipative Dynamical Systems
P. Urdeitx * , F. Chinesta , E. Cueto -
A Thermodynamic-Consistent Reduced-Order Machine Learning Model for Non-Equilibrium Materials Response
S. Huang * , H. Gao -
Student
Thermodynamics -Informed Deep Learning for Flow Prediction
C. Bermejo Barbanoj * , A. Badías , D. González , F. Chinesta , E. Cueto -
Learning equilibrium state transitions with graph neural networks: aplication to thin shells buckling
P. Martins * , E. Cueto * , B. Moya , F. Chinesta -
Learning non canonical Hamiltonian systems using variational integrator
E. Franck * , L. Tremant , L. Navoret , C. Courtès , M. Krauss -
Physics-Guided Neural Networks for Lyapunov-Stable Dynamic System Identification
F. Roth * , M. Kannapinn , D. Klein , O. Weeger
Main Organizer:
Dr.
Dimitrios Loukrezis
(Siemens AG, Germany)
Chaired by:
Prof. Dimitris Giovanis
(Johns Hopkins University, United States)
-
Probabilistic methods for learning compact dynamical representations of nonlinear systems
M. Guo * -
Data-driven Uncertainty Quantification on Manifolds for Cardiac Digital Twins
D. Giovanis * , J. Tso , K. Zhang , S. Goswami , M. Maggioni , I. Kevrekidis , N. Trayanova -
Uncertainty Quantification in Machine Learning for Glass Transition Temperature Prediction of Polymers
Y. Li * -
Student
Comparing Surrogate Models for Real-Time Dynamic Reactor Simulations
L. Peterson * , A. Forootani , E. Sanchez Medina , I. Gosea , P. Benner , K. Sundmacher -
Student
Data-Driven Reduced Order Modeling Framework for Surrogate Modeling and Uncertainty Quantification in Electric Machine Design
A. Partovizadeh * , S. Schöps , D. Loukrezis -
Digital Twinning Tools for 3D Bioprinting of Functional Materials
J. Urrea-Quintero * , H. Wessels
Main Organizer:
Dr.
Duc Phi Do
(University of Orleans, France)
Chaired by:
Prof. Dashnor HOXHA
(Laboratory of MEchanics, Gabriel Lamé, University of Orleans, France)
,
Dr. Duc Phi Do
(University of Orleans, France)
-
Student
Application of Machine Learning on the Uncertainty Quantification of Fresh Concrete Properties and Reliability-Based Design Optimization of the 3D Printing Process
Y. ABOUSAID * , D. DO , S. Rémond , C. Florence , Y. JIN -
Bayesian Model Updating for Predictive Digital Twins under Model Form Uncertainty
J. Unger * , A. Robens-Radermacher , D. Andrés-Arcones , S. Ur-Rehman -
Artificial Intelligence in Stochastic Optimal Control for Planning Production Activities in a Manufacturing System
L. Ndzie Enama * , J. Kenné , A. Gharbi -
Uncertainty Quantification in Semiconductor Models
L. Taghizadeh *
Main Organizer:
Phd.
Ettore Saetta
(University of Naples Federico II, Italy)
Chaired by:
Phd. Ettore Saetta
(University of Naples Federico II, Italy)
,
Phd. Stefania Fresca
(Politecnico di Milano, Italy)
-
Keynote
Graph-Based Machine Learning Approaches for Model Order Reduction
F. Pichi * , B. Moya , O. Morrison , J. Hesthaven -
Student
On Latent Dynamics Learning in Nonlinear Reduced Order Modeling
S. Fresca * , N. Farenga , S. Brivio , A. Manzoni -
Learning Unsteady Trajectories in a Latent Space for Studying Ignition in Rocket Combustors
T. Zahtila * , E. Saetta , D. Rossinelli , G. Iaccarino
Main Organizer:
Prof.
Marie-Christine HO BA THO
(Université de technologie de Compiègne, France)
Chaired by:
Prof. Marie-Christine HO BA THO
(Université de technologie de Compiègne, France)
,
Prof. Tien-Tuan Dao
(Centrale Lille Institut, France)
-
Keynote
Childbirth Virtual Human Twin Coupled with Modern AI: Exploring the First Discovery Journey of the Human Being
T. Dao * -
IntegratING Viscoelastic and Poroelastic Modeling for Predicting Soft Tissue RESPONSE and PREVENTING PRESSURE ULCER RISK
G. SCIUME , A. SEGAIN , T. LAVIGNE , S. BORDAS , H. PILLET , P. ROHAN * -
Deep Learning-Based Imputation on the Facemocap Dataset for Facial Movement Analysis
E. Rodriguez * , F. Marcellin , E. Colin , F. Sarhan , S. Dakpé -
Patient Specific Modelling Of The Face Towards Predictive Digital Twins For Facial Expression
M. Ho Ba Tho * , T. Dao
Thu, 20/02/2025
13:30 - 14:45
13:30 - 14:45
Chaired by:
Prof. Ruben Sevilla
(Swansea University, United Kingdom)
Thu, 20/02/2025
15:45 - 16:15
15:45 - 16:15
Main Organizer:
Mr.
Matteo Torzoni
(Politecnico di Milano, Italy)
Chaired by:
Mr. Matteo Torzoni
(Politecnico di Milano, Italy)
,
Prof. Andrea Manzoni
(Politecnico di Milano, Italy)
-
DT4DED: A Digital Twin with Real-Time Slicing for Residual Stress Design of L/DED-W Additive Manufacturing
M. Kannapinn * , F. Roth , O. Weeger -
Student
Structural Damage Detection based on Aerodynamic Pressure Measurements
P. Franz * , I. Abdallah , G. Duthé , J. Deparday , A. Jafarabadi , A. Popp , S. Barber , E. Chatzi -
Student
A Digital Twin Framework for Helicopter Fleet Maintenance Integrating Real Time Degradation Tracking
E. Petriconi * , M. Giglio , C. Sbarufatti -
Student
Machine Learning Approaches for Water Leakage Detection in Water Supply Systems: A Comparative Study
A. Sousa * , A. Andrade-Campos , E. Rocha -
Student
Digital Twins for Military Aircraft: a Machine Learning Approach for Monitoring Structural Aging
C. Ferrassou * , P. Escande , M. Duval , R. Bouclier , L. Risser
Main Organizer:
Prof.
Martin Genet
(École Polytechnique, France)
Chaired by:
Prof. Martin Genet
(École Polytechnique, France)
,
Prof. Philippe Moireau
(Ecole polytechnique, France)
-
Towards a digital twin of magnetic nanoparticle-mediated cancer therapy
B. Wirthl * , C. Janko , B. Schrefler , C. Alexiou , W. Wall -
Autonomous catheter navigation for predictive mixed reality during endovascular interventions
M. Duprez * , S. Cotin , F. Nageotte , V. Scarponi -
Mechanistic and Data-Driven Digital Twins of Patients on Non-Invasive Respiratory Support
L. Weaver * , H. Yu , H. Shamohammadi , S. Saffaran , D. Bates -
Student
Patient-Specific Perfusion Assessment: A Digital Twin Workflow Driven by Dynamic Imaging
J. Kowalski * , J. Hanna , S. Koning , L. Sala , R. Peul , M. Kruiswijk , J. Van der Vorst , I. Vignon-Clementel -
Combining Physics-Based Modeling and Data Analytics Methods To Develop a Digital Twin for Ocular Applications
T. Saigre , V. Chabannes , C. Prud'homme , M. Szopos *
Main Organizer:
Dr.
Esther Andrés Pérez
(INTA, Spain)
Chaired by:
Dr. Esther Andrés Pérez
(INTA, Spain)
,
Dr. Domenico Quagliarella
(CIRA, Italy)
-
Student
Beta-Variational Autoencoders for Data-Driven Aerodynamic Models
V. Francés-Belda * , A. Solera-Rico , J. Nieto-Centenero , E. Andrés , C. Sanmiguel Vila , R. Castellanos -
Student
Leveraging Machine Learning for CFD Flow Field Classification
R. Margheritti * , O. Semeraro , M. Quadrio , G. Boracchi -
Extracting Large-scale Coherent Structures from Turbulent Flow by Combining Dynamic Mode Decomposition and β-Variational Autoencoders
R. Halder * , B. Eiximeno , O. Lehmkuhl -
Multi-fidelity surrogate-assisted multi-objective optimization: application to a low reynolds number compressor blade design
M. Schouler * , A. Belme , P. Cinnella
Main Organizer:
Mr.
Leon Herrmann
(Technische Universität München, Germany)
Chaired by:
Prof. Stefan Kollmannsberger
(Bauhaus University Weimar, Germany)
-
A Deep Learning Approach to Forward and Inverse Problems in Topology Optimization via Rank Reduction Autoencoders
I. Ben-Yelun * , M. El Fallaki Idrissi , J. Mounayer , S. Rodríguez , C. Ghnatios , F. Chinesta -
Student
Designing spinodoid architected materials by Bayesian optimization
A. Raßloff , P. Seibert , K. Kalina , M. Kästner , A. Otto * -
Student
Vibroacoustic Plate Design Using Guided Diffusion
J. Schultz * , J. van Delden , C. Blech , S. C. Langer , T. Lüddecke -
Parametrizing Design Variables with Neural Networks
L. Herrmann * , O. Sigmund , S. Kollmannsberger -
Student
Structural Optimization of Lattice Structures Using Neural Networks for Geometry Representation
M. Kofler * , S. Elgeti -
Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes
R. Bostanabad *
Main Organizer:
Prof.
Mats G. Larson
(Umea University, Sweden)
Chaired by:
Prof. Mats G. Larson
(Umea University, Sweden)
-
Neural Green's Operators for Parametric Partial Differential Equations
H. Melchers * , J. Prins , M. Abdelmalik -
Student
Combining Finite Element Methods and Neural Networks to Solve Elliptic Problems on 2D Geometries
F. Lecourtier * , N. Victorion , H. Barucq , M. Duprez , F. Faucher , E. Franck , V. Lleras , V. Michel-Dansac -
Neural Network Approximation to Piecewise Constant Functions and its Applications to Hyperbolic Conservation Laws
Z. Cai * , J. Choi , M. Liu -
Opening the black-box: approximation and generalization properties of convolutional neural networks in surrogate modeling
N. Franco * , S. Fresca , S. Brugiapaglia , A. Manzoni , P. Zunino -
Student
ELM training for Physics-Informed Neural Networks
D. De Falco * -
Student
Neural Network-Based Implicit Finite Volume Schemes for Hyperbolic System of Conservation Laws in 1D and 2D
L. Ávila León * , M. Castro Díaz
Main Organizer:
Mr.
Paolo Zunino
(MOX, Department of Mathematics, Politecnico di Milano, Italy)
Chaired by:
Dr. Guillermo Lorenzo
(University of A Coruña, Spain)
,
Mr. Paolo Zunino
(MOX, Department of Mathematics, Politecnico di Milano, Italy)
-
Mathematical Models as the Engine of Digital Twins in Radiation Oncology
H. Enderling * -
Digital-Twin Framework to Quantify Vertebral Fracture Risk due to Metastatic Cancer
S. Laranjeira * , S. Walker-Samuel , R. Shipley -
a Physics-Informed Machine Learning model for Digital Twins: application to Prostate Cancer
D. Camacho-Gomez * , C. Borau , J. Garcia-Aznar , M. Gomez-Benito , M. Girolami , M. Perez -
Towards a Digital Twin for Microvascular Environment in Head and Neck Cancer
L. Possenti * , S. Materne , F. Pisani , P. Vitullo , A. Cicchetti , C. Macaluso , T. Rancati , P. Zunino -
Designing Digital Twins for Personalized Risk Assessment in Breast Cancer Radiotherapy: Insights From the Tetris Project
P. Zunino * , C. Fiorino , D. Gibon , S. Gutierrez-Enriquez , E. Onjukka , S. Pereira , A. Vega , T. Rancati
Main Organizer:
Dr.
Daniel Wolff
(University of the Bundeswehr Munich, Germany)
Chaired by:
Prof. Alexander Popp
(University of the Bundeswehr Munich, Germany)
,
Dr. Daniel Wolff
(University of the Bundeswehr Munich, Germany)
-
Keynote
FEM and ALE-Based Simulation of Long-Term Road Behavior Under Moving Loads and Thermal Effects for Digital Twin Applications
A. Chihadeh * , M. Kaliske -
Data-driven Modeling of Processes for a Pedestrian Flow Simulation
E. Eftimova * , C. Nellinger , T. Koch -
Leveraging Sensor Data to Enhance Multi-physics Simulations for Pedestrian Flow in a Digital Twin Framework
J. Bonari * , D. Gioia , M. von Danwitz , A. Popp -
Student
Towards Digital Twins for Real-Time Urban Physics Simulations via Model Order Reduction
L. Kühn * , J. Bonari , M. von Danwitz , A. Popp -
Probabilistic Trajectory Modelling in a Digital Twin of UK Airspace
N. Pepper * , A. Hodgkin , A. Keane , M. Thomas
Main Organizer:
Dr.
Duc Phi Do
(University of Orleans, France)
Chaired by:
Dr. Duc Phi Do
(University of Orleans, France)
,
Prof. Dashnor HOXHA
(Laboratory of MEchanics, Gabriel Lamé, University of Orleans, France)
-
Grammar-Based Generative Design of Truss Structures with Monte Carlo Tree Search
M. Torzoni * , G. Garayalde , L. Rosafalco , M. Bruggi , A. Corigliano -
Student
Incorporating Uncertainties of EBFs using various Machine Learning Methods and Sampling-based Reliability Approaches
M. MASOOMZADEH * , M. CHARKHTAB BASIM * -
Student
Time-dependent convergence prediction, uncertainty quantification of creep rock behavior and design optimization of deep tunnel support using ai methods
P. Quang Hieu , T. Toan Trung * , D. Duc Phi , V. Minh Ngoc , H. Dashnor -
Optimlized LSTM Neural Networks via Neural Architecture Search for Predicting Damage Evolution in Composite Laminates
O. Friderikos * , A. Mendoza , E. Baranger , D. Sagris , C. David -
Student
A Two-Stage Metamodeling Approach for Efficient Global Robust Optimization
T. Wanglomklang * , F. GILLOT , S. BESSET -
Student
Efficient Robust Optimization of Network Systems under Uncertainty
J. Paulson , A. Kudva *
Main Organizer:
Phd.
Ettore Saetta
(University of Naples Federico II, Italy)
Chaired by:
Prof. Gianluigi Rozza
(SISSA, Italy)
,
Dr. Federico Pichi
(SISSA, Italy)
-
Student
Reduced-Order Modeling of Experimental Turbulent Flows: from Linear Projection-Based Methods to Autoencoders
N. Tonioni * , L. Agostini , F. Kerhervé , L. Cordier , R. Vinuesa -
Student
Autoencoder-Based Dimensionality Reduction of Turbulent Channel Flow Under Spanwise Wall Oscillations
L. Guérin * , T. Fisk , L. Cordier , C. Flageul , L. Agostini -
Student
Physics Informed Spatio-Temporal Autoencoder for Flow Field Prediction in Bed Configurations
A. Mjalled * , M. Mönnigmann , R. Namdar , F. Varnik -
Student
Reservoir computing for system identification and predictive control with limited data
J. Williams * , N. Kutz , K. Manohar
Main Organizer:
Dr.
Panos Pantidis
(New York University Abu Dhabi, Greece)
Chaired by:
Dr. Panos Pantidis
(New York University Abu Dhabi, Greece)
,
Dr. Mostafa Mobasher
(New York University Abu Dhabi, United Arab Emirates)
-
Bridging Neural Operators and Numerical Methods for Parametric PDE Solutions and Optimization
S. Rezaei * -
Efficient and Robust Phase-Field Fracture Simulations Leveraging I-FENN
P. Pantidis * , L. Svolos , R. Saji , D. Abueidda , M. Mobasher -
Multimodal Pre-Training Enables Time-Dependent Physics Inference from B-Rep
Y. Chen * , J. Bi , C. Ngo Ngoc , O. Bettinotti , V. Oancea -
Student
Graph Neural Network-based Gauss Quadrature for Isogeometric Analysis
D. Nath * , D. Neog , S. Gautam -
Insights from Community Detection and Clustering through Modularity Function in 3D Model Glasses: an Unsupervised Machine Learning Approach
S. Swayamjyoti * , S. Alshabab , P. Jha , S. Khawas , R. Kishore , K. Sahu , B. Markert , F. Bamer
Thu, 20/02/2025
19:15 - 23:55
19:15 - 23:55
Fri, 21/02/2025
07:30 - 08:00
07:30 - 08:00
Chaired by:
Prof. Elias Cueto
(Universidad de Zaragoza, Spain)
Main Organizer:
Mr.
Matteo Torzoni
(Politecnico di Milano, Italy)
Chaired by:
Mr. Matteo Torzoni
(Politecnico di Milano, Italy)
,
Prof. Andrea Manzoni
(Politecnico di Milano, Italy)
-
Predictive Digital Twins for Underground Thermal Energy Storage using Differentiable Programming
Ø. Klemetsdal * , O. Andersen , S. Krogstad -
The Role of Digital Twins in Smart Energy Systems
A. Di Meglio * , N. Massarotti -
Digital Twin for Predictive Maintenance of Steam Generators
V. Chabridon , E. Remy * , M. Garo Sail , E. Jaber , A. Arnaud , A. Ajenjo , E. Dautrême , J. Caron , J. Delplace , P. Coffy , E. Ngarukiye -
Student
A Robust Pump Scheduling Optimization Model for Energy Cost Reduction in Smart Predictive Digital Twins
M. Brás * , A. Moura * , A. Andrade-Campos * -
performance metrics and unified approaches for digital twin implementation in energy sectors
A. Razikazemi *
Main Organizer:
Prof.
Martin Genet
(École Polytechnique, France)
Chaired by:
Prof. Martin Genet
(École Polytechnique, France)
,
Prof. Philippe Moireau
(Ecole polytechnique, France)
-
An Efficient Framework for Generating Patient-Specific Human Atrial Electrophysiology
E. Zappon * , L. Azzolin , M. Gsell , A. Neic , G. Plank -
Patient-Specific Myocardial Microvessel Generation Using a Modified Constrained Constructive Optimization Algorithm
N. Thekkethil * , G. Pelagi , J. Mackenzie , H. Gao , N. Hill , X. Luo -
Student
Estimating Active Stress in Cardiac Biomechanical Models Based on Physics-Informed Neural Networks
M. Höfler * , F. Regazzoni , S. Pagani , E. Karabelas , C. Augustin , A. Quarteroni , G. Plank , G. Haase , F. Caforio -
Towards a Lumped-Parameter Model Digital Twin of the Pulmonary Arterial Hypertension Patient
M. Balmus * , Z. Goh , M. Wilkins , A. Rothman , S. Niederer -
Towards Digital Twins for Predicting Cardiac Growth and Remodeling
M. Sadeghinia * , H. Finsberg , E. Espe , S. Wall1 , J. Sundnes
Main Organizer:
Dr.
Esther Andrés Pérez
(INTA, Spain)
Chaired by:
Dr. Domenico Quagliarella
(CIRA, Italy)
,
Dr. Esther Andrés Pérez
(INTA, Spain)
-
Optimizing UAV Electric Propulsion Systems using Artificial Neural Networks: A Data-Driven Approach
S. Goli * , D. Kurtuluş , M. Waqar , I. Imran , L. Alhems , T. Kouser , A. Memon -
Green AI for Near-Optimal Mesh Generation
C. Lock * , O. Hassan , R. Sevilla , J. Jones -
Student
Efficient High-dimensional Design under Uncertainty: Multi-fidelity Deep Learning Approaches
D. Kilic * , M. Nikbay -
Design-Space Dimensionality Reduction By Physics-Informed Parametric Model Embedding: Application To Bioinspired Underwater Gliders
A. Serani * , G. Palma , M. Diez -
Sensitivity and optimization of shock bubble interaction within the framework of differentiable fluid dynamics
W. Wang * , X. Zhang , X. Chu
Main Organizer:
Phd.
Oriol Colomés
(Delft University of Technology, Netherlands)
Chaired by:
Dr. Alexander Heinlein
(TU Delft, Netherlands)
,
Phd. Oriol Colomés
(Delft University of Technology, Netherlands)
-
When big neural networks are not enough: physics, multifidelity and kernels
A. Howard * , W. Chen , S. Qadeer , P. Stinis -
Student
Efficient and accurate training of physics-informed deep operator networks with the conjugate kernel
A. Howard * , P. Stinis * , S. Murphy , S. Qadeer , T. Chiang -
Neural Operator-Based Modeling of Hypersonic Flows Around Varying Geometries
A. Peyvan * , G. Karniadakis * -
Bridging the Gap between Isogeometric Analysis and Deep Operator Learning
M. Möller * -
Scalable Neural Network Approach for Heat Transport in Groundwater
J. Pelzer * , M. Schulte -
DeepONet-based Preconditioning for Krylov Methods
A. Kopaničáková *
Main Organizer:
Prof.
Mats G. Larson
(Umea University, Sweden)
Chaired by:
Prof. Mats G. Larson
(Umea University, Sweden)
-
Solving Parametric Partial Differential Equation Using Least-Squares-Based Neural Networks
S. Baharlouei * , J. Taylor , C. Uriarte , D. Pardo -
Student
Assessing the interpretability and robustness of MLP in tsunami prediction
J. Rodríguez Gálvez * , J. Macías Sánchez * , M. Castro Diaz * , B. Gaite Castrillo , J. Cantavella Nadal , L. Puertas González -
Student
Energy Minimisation Using Tensor-Product Free-Knot B-Splines
A. Magueresse * , S. Badia -
A Graph-based approach towards a Hybrid Digital Twin for Satellite Thermal Management
L. Sosta * , S. Pagani , N. Parolini , F. Regazzoni , C. Ciancarelli , A. Nervo , F. Corallo , D. Di Ienno , L. Marini
Main Organizer:
Mr.
Paolo Zunino
(MOX, Department of Mathematics, Politecnico di Milano, Italy)
Chaired by:
Mr. Paolo Zunino
(MOX, Department of Mathematics, Politecnico di Milano, Italy)
,
Dr. Guillermo Lorenzo
(University of A Coruña, Spain)
-
Patient-specific forecasting of prostate cancer progression during active surveillance using biomechanistic models and hybrid classifiers
G. Lorenzo * , C. Wu , J. Yung , J. Ward , H. Gomez , A. Reali , T. Yankeelov , A. Venkatesan , T. Hughes -
Mathematical Modeling and Optimization of Tumor and Therapeutic Cell Delivery Incorporating Interstitial Fluid Flow
R. Woodall * , J. Hibbard , M. Gutova , C. Brown , J. Munson , R. Rockne -
Biological features relevant to poor prognosis in breast cancer
J. Oh * , F. Pareja , R. Elkin , K. Xu , L. Norton , J. Deasy -
The “Second Way In” : Modeling Perivascular Drug Delivery
C. Daversin-Catty * , H. Finsberg , K. Mardal , M. Rognes -
Modeling of Heat Therapies Preventing Liver Cancer
T. Koeppl * , M. Weiser , M. Weber
Main Organizer:
Dr.
Daniel Wolff
(University of the Bundeswehr Munich, Germany)
Chaired by:
Dr. Daniel Wolff
(University of the Bundeswehr Munich, Germany)
,
Mr. Tobias Koch
(German Aerospace Center (DLR), Germany)
-
Tensor Decomposition-Based HP-Variational Physics-Informed Neural Networks Optimized for Edge Devices
D. Ghose * , T. Anandh , J. Biju , S. Ganesan -
Student
Extension of Physics-Informed Neural Networks to Solve Solid and Contact Mechanics Problems in 3D
T. Sahin * , D. Wolff , A. Popp -
Student
Probabilistic Virtual Sensing of Reinforced Concrete Structures Based on Gaussian Processes and Mixed-Dimensional Modelling
B. Maradni * , S. Brandstaeter , A. Popp -
Student
Adjoint-Based Material Parameters and Constitutive Model Identification From Deformation Measurements
T. Ansari * , R. Löhner , R. Wüchner , H. Antil , S. Warnakulasuriya , I. Antonau , F. Airaudo -
Developing a Calibrated Physics Based Digital Twin for Construction Vehicles
D. Karanfil * , D. Lindmark , M. Servin , D. Torick , B. Ravani -
Student
Using Digital Twinning and Augmented Reality for Optimizing Train Door Maintenance Processes
Y. An * , B. Adey , C. Haas
Main Organizer:
Dr.
Jeremy Bleyer
(Ecole nationale des ponts et chaussées, France)
Chaired by:
Dr. Jeremy Bleyer
(Ecole nationale des ponts et chaussées, France)
-
Construction and Calibration of Digital Twins for Metallic Truss Bridges
C. Menuet * -
Application of Supervised Learning in the Field of Tunnel Construction
L. Guayacán-Carrillo * , J. Pereira , J. Sulem -
Digital Twins For The Smart Operation Of Long Thermoactive Urban Tunnels
I. González Tejada * , J. González Galindo , J. Muñoz Antón -
RISK.twin: A Class of Digital Twins for Critical Infrastructure Protection
A. Popp * , D. Wolff -
Data-Driven Condition Monitoring and Load Analysis for a Tram Rail Infrastructure
L. Heindel * , K. Marburg , D. Zschocke , A. Günther , P. Hantschke , M. Kästner
Main Organizer:
Prof.
Sergio Tavares
(Universidade de Aveiro, Portugal)
Chaired by:
Prof. Sergio Tavares
(Universidade de Aveiro, Portugal)
,
Eng. Natacha Rosa
(University of Aveiro, Portugal)
-
Student
Evaluating digital twin maturity levels a case study of using large language models
A. Koskinen * , T. Gupta , Q. Khadim , E. Kurvinen -
Developing A Digital Twin For Metals Additive Manufacturing
A. Rollett * , S. Ghosh -
Reconciling Physics-based and Data-driven Process Models in the Additive Manufacturing Digital Twin
P. Witherell * , J. Michopoulos -
Energy Systems Assessment Through Model Based Digital Twins for Enhanced Environmental Sustainability
N. Rosa * , S. M. O. Tavares
MS001A Scientific Deep Learning Approaches for realtime forecast and calibration of digital models I
Main Organizer:
Prof.
Tan Bui-Thanh
(The University of Texas, United States)
Chaired by:
Prof. Tan Bui-Thanh
(The University of Texas, United States)
-
Keynote
Utilizing Scientific Deep Learning to Accelerate Data-Consistent Inversion
T. Wildey * -
Student
Efficient Digital Twin Development using Reduced Order Modeling for Steel Grade Intermixing in A Multiphase system of Continuous Casting Tundish
H. Gowrachari * , G. Stabile , G. Rozza -
Student
Improving Digital Twin using AI & SCADA
B. Malbois Le Borgne * , F. GATTI , M. CAPALDO , R. DESMORAT
Fri, 21/02/2025
11:00 - 11:30
11:00 - 11:30
Main Organizer:
Mr.
Matteo Torzoni
(Politecnico di Milano, Italy)
Chaired by:
Mr. Matteo Torzoni
(Politecnico di Milano, Italy)
,
Prof. Andrea Manzoni
(Politecnico di Milano, Italy)
-
Transforming Composite Manufacturing: AI-Driven Defect Detection and Prediction in Real-Time
I. Tretiak * , A. Koptelov , B. El Said -
Student
Assessing Cryobot Trajectory in Cryotwin: A Data-Integrated, Modular, and Extendable Virtual Framework
D. Bhattacharya * , J. Kowalski -
Importance of Causality in Digital Twins: A Special Case for Predictive Maintenance of a Gas Turbine Engine
M. Tiwari * , P. Rao , P. Schlachter -
Student
Machine Learning Based Prediction of Chlorine Residuals in Water Supply Systems
S. Mota * , A. Andrade-Campos , A. Reis -
Student
An Industrial Digital Twin Structure Based on Maturity Level
T. Gupta * , A. Koskinen , Q. Khadim , E. Kurvinen
MS020C Digital twins of living systems: theoretical, implementation & application challenges III
Main Organizer:
Prof.
Martin Genet
(École Polytechnique, France)
Chaired by:
Prof. Philippe Moireau
(Ecole polytechnique, France)
,
Prof. Martin Genet
(École Polytechnique, France)
-
Urban airborne hazard for human health: CFD-DEM approach to respiratory urban airborne particulate
G. Spasov * , R. Rossi , A. Vanossi , C. Cottini , A. Benassi , G. Stabile -
Student
Numerical Preservation of Integral Properties of Growth-Fragmentation Models - Application to Saccharomyces Cerevisiae
B. Daignan-Fornier , C. Etchegaray , J. Granet * , B. Pinson , C. Poignard -
Digital Twins in the Context of Personalized Medicine
J. de Wiljes * -
Student
Mathematical modeling of cardiac tissue response after Pulsed Field Ablation
S. Nati Poltri * , A. Collin , C. Poignard -
Student
Implicit Neural Field Reconstruction on Complex Shapes from Scattered And Noisy Data
D. Carrara * , F. Regazzoni , S. Pagani
Main Organizer:
Mr.
Jan Marius Stürmer
(German Aerospace Center (DLR), Germany)
Chaired by:
Mr. Jan Marius Stürmer
(German Aerospace Center (DLR), Germany)
,
Mr. Tobias Koch
(German Aerospace Center (DLR), Germany)
-
Scaling Digital Physical Asset Monitoring: Data-Driven Twins for Enterprise Implementations
D. Wilke * -
Towards Generic Data Handling for Digital Twins in Product Development
J. Wagner * , P. Thoma -
Towards Integrated Digital Twin For Kw-51 Bridge: Real-Time Structural Response Prediction And Machine Learning-Based Damage Identification
M. Mobasher * , B. Ahmed , Y. Qiu , D. Abueidda -
Pipe Reconstruction From Point Clouds for Automated Digital Twin Generation
A. Alex *
Main Organizer:
Phd.
Oriol Colomés
(Delft University of Technology, Netherlands)
Chaired by:
Phd. Oriol Colomés
(Delft University of Technology, Netherlands)
,
Dr. Alexander Heinlein
(TU Delft, Netherlands)
-
Student
Unfitted finite element interpolated neural networks for partial differential equations on complex geometries
W. Li * , S. Badia , A. Martín -
Student
Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs
S. Brivio * , S. Fresca , A. Manzoni -
Student
Performance Comparison of Neural Networks and Sparse Polynomials for Operator Surrogates
J. Westermann * , T. O'Leary-Roseberry , J. Zech -
Convolution neural operator preconditioning for the solution of some heterogeneous PDEs
Y. Xiang * , L. Giraud -
Student
A Phi-FEM approach to train a FNO for variable geometries
M. Duprez , V. Lleras , A. Lozinski , V. Vigon , K. Vuillemot * -
The Generalized Weighted Shifted Boundary Method for geometry-agnostic neural operators
O. Colomes * , J. Modderman
Main Organizer:
Dr.
Martin Thomas Horsch
(Norwegian University of Life Sciences, Norway)
Chaired by:
Prof. Gianluca Boccardo
(Politecnico di Torino, Italy)
,
Prof. Michael Möckel
(University of Applied Sciences Aschaffenburg, Germany)
-
Keynote
Macine learning in the small data regime for pilot battery cell production
X. Xu , M. Moeckel * -
Thermal Behavior of Automotive Lithium Batteries: Experimental Analysis and Digital Twin Development
D. Fedeli * , M. Lagnoni , C. Scarpelli , F. Quilici , A. Bertei , G. Lutzemberger , M. Salvetti , A. Mariotti -
Digital Twin and Dataspace Architecture for Vanadium Redox-flow Batteries in View of Requirements for the Digital Materials and Product Passport
M. Horsch * , D. Fertig , A. Aghabarari , M. Bashir , D. Romanov , F. Al Machot , M. Janssen , E. Valseth , A. Linhart , J. große Austing , S. Chiacchiera , N. Vizcaino , M. Seaton , I. Todorov -
Upscaling of Lithium-Ion Battery Models: from the Pore-Scale to the Cell- Scale through Homogenization
A. Lombardo Pontillo * , E. Buccafusco , A. Marcato , G. Boccardo , D. Marchisio , I. Battiato -
Student
Predicting Battery Degradation Using Cellular Neural Network Model
S. Liyanapathiranage * , F. Al Machot , M. Horsch , A. Dey
Main Organizer:
Prof.
Ludovic CHAMOIN
(ENS Paris-Saclay, France)
Chaired by:
Prof. Ludovic CHAMOIN
(ENS Paris-Saclay, France)
,
Prof. Nazih Mechbal
(AMVALOR, France)
-
Semi-Autonomous Neural ODEs and Applications to Model Predictive Control
Z. Li , K. Liu , L. Liverani * , E. Zuazua -
Validated prediction using intervals and integrals
L. Jaulin * -
Monitoring and Control of Structures subject to Vibration and Damage using the Koopman operator
F. Colombo * , S. da Silva , M. Rebillat , N. Mechbal -
Student
Data-driven MPC for Real-time Control of Nonlinear Systems
D. Martin Xavier * , L. Chamoin , L. Fribourg -
Optimizing Preform Charges in Sheet Molding Compound Manufacturing Through a Simulation-Based Machine Learning Approach
M. Tannous * , S. Rodriguez , C. Ghnatios , F. Chinesta -
Student
Reinforcement Learning Techniques Applied to the Control of Electroacoustic Resonators
A. Flor Torquato Fernandes * , L. Ferreira , R. Teloli , E. De Bono , M. Ouisse , S. De Rosa , G. Petrone
Main Organizer:
Prof.
Elena Celledoni
(NTNU, Norway)
Chaired by:
Prof. Elena Celledoni
(NTNU, Norway)
-
Reversible integrators in deep learning
S. Maslovskaya * , S. Ober-Blöbaum , C. Offen , P. Singh , B. Wembe -
Towards AI Supported Estimation of Quasistatic Equilibrium Configurations of Flexible Parts
M. Roller * , J. Ljunglide , S. Lorin , J. Linn -
AI-Based Constitutive Modelling for Composite Cable Structures
V. Doerlich * , D. Manfredo , J. Linn , M. Arnold -
Simulation-based Assessment of Control Methods for the Robotic Manipulation of Deformable Objects
L. Dehaybe * , O. Brüls -
On non-expansive ODEs and numerical integrators on manifolds with applications in computational mechanics and neural networks
B. Owren * -
Neural Networks For The Approximation Of Euler's Elastica
E. Celledoni * , E. Çokaj , A. Leone , S. Leyendecker , D. Murari , B. Owren , R. Sato Martín de Almagro , M. Stavole
Main Organizer:
Dr.
Jeremy Bleyer
(Ecole nationale des ponts et chaussées, France)
Chaired by:
Prof. Ignacio González Tejada
(Universidad Politécnica de Madrid, Spain)
-
Numerical Strategies for Cities and Territories using Digital Twin: from Urban Planning to Enhanced management
J. Waeytens * , T. Hamada , R. Chakir , G. Perrin , P. Lévèque , E. Bourgeois , D. Siegert -
Student
Leveraging Physics-informed Methodologies in Smart Predictive Digital Twins for Optimized Water Supply System Management
T. C. Pereira * , A. Andrade-Campos , R. Arbos -
Student
Real-Time Optimization and Digital Twin Integration for Water Supply Systems: A Case Study in Portugal
M. Alão * , A. Reis , A. Andrade-Campos -
Data-Driven Forecasting of Residential Water, Heating and Electricity Consumption
N. Vlaminck * , L. Henneaux * , I. Parwatha * , C. Sainvitu *
Main Organizer:
Dr.
Jeffrey Harris
(École nationale des ponts et chaussées, France)
Chaired by:
Dr. Jeffrey Harris
(École nationale des ponts et chaussées, France)
,
Dr. Konstantin Kuznetsov
(GRASP Earth, France)
-
Student
Rapid Prediction of Tsunami Waveform with Bayesian Scenario Superposition
S. Fujita * , R. Nomura , S. Moriguchi , Y. Otake , R. LeVeque , K. Terada -
Student
A Reduced Ordel Model for Aerosol Coaguation
O. Jacquot * , V. Ehrlacher , T. Lelievre , K. Sartelet -
Reduced order model for efficient prediction of dynamics of urban boundary layer in Paris
K. Kuznetsov * , O. Dubovik * , E. Alekseenko -
On-the-fly Algorithm of Total Dynamic Mode Decomposition using Incremental Singular Value Decomposition
D. Matsumoto * , C. Janßen , T. Indinger
Main Organizer:
Prof.
David Ryckelynck
(Mines Paris PSL - Armines, France)
Chaired by:
Prof. David Ryckelynck
(Mines Paris PSL - Armines, France)
-
Finite Element Neural Network Interpolation: Hybridisation with the Proper Generalised Decomposition for Surrogate Modelling
A. Daby-Seesaram * , K. Škardová , M. Genet -
Reduced Order Model for Drainage Computation in Lower Limb Lymphedema
A. Garcia-Llona * , F. Verdugo , M. Aguirre , S. Avril -
Real-time prediction of strain in sitting-induced deep tissue injury using dictionary-based rom-nets
D. RYCKELYNCK * , P. ROHAN
Fri, 21/02/2025
13:30 - 14:45
13:30 - 14:45
Chaired by:
Prof. Pierre Ladevèze
(Paris-Saclay University, France)
Chaired by:
Prof. Beatriz Moya
(ENSAM Paris, France)