MS009E AI, Model Reduction and Data-Driven techniques for multiscale modelling of materials, structures and processes V
Main Organizer:
Prof.
Julien Yvonnet
(
Universite Gustave Eiffel
, France
)
Chaired by:
Mr. Felipe ROCHA (Université Paris-Est Créteil , France)
Mr. Felipe ROCHA (Université Paris-Est Créteil , France)
Scheduled presentations:
-
Student
Machine Learning-Based Scale Bridging for Permeability Prediction of 3D Fibrous Structures
-
Student
Tailored Gaussian Process Kernels for Learning Representative Volume Elements (RVE) From EBSD Texture Data of Polycrystals
-
Student
PDE Learning for Continuum Dislocation Dynamics
-
Physically Informed Koopman Analysis of Evolving Dislocation Data
-
Student
Data-Driven Surrogate Modelling Approach for Combining Simulation and Experimental Data for Crystalline Microstructures
-
Digital Twin of a Reheat Furnace Integrating Machine Learning and Chemical Reactor Networks
