DTE AICOMAS 2025

MS002C Enabling Technologies for Scientific Machine Learning and Reduced Order Modeling III

Main Organizer: Prof. Alvaro Coutinho ( COPPE/Federal University of Rio de Janeiro , Brazil )

Thu, 20/02/2025
09:00 - 11:00
Amphi Bezier
MS002C

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 (German Aerospace Center (DL)R), P. Knechtges (German Aerospace Center (DLR)), A. Rüttgers (German Aerospace Center (DLR))
Accelerating Finite Element Analysis Through Precise Matrix Preidiction Based on Deep Learning
*G. Yoon (Hanyang University), H. Jin (Hanyang University), Y. Song (Hanyang University)
Student A Streaming, Distributed Out-of-Core SVD Library on Hybrid CPU/GPU Architectures Applied to Fluid Mechanics Data
*Y. Ajanif (Ecole Centrale de Nantes), L. Silva (Ecole Centrale de Nantes), L. Lestandi (Ecole Centrale de Nantes)
Leveraging the Cross-Entropy Method for Model Calibration and Data-Driven Modeling
*A. Cunha Jr (Rio de Janeiro State University), M. Issa (Rio de Janeiro State University), J. Basilio (Rio de Janeiro State University), J. Telles Ribeiro (Rio de Janeiro State University)
Integrating DASH with Jupyter Notebooks: an Approach for Effective SciML Results Communication
*S. Guo (ABB Corporate Research Switzerland)
A High-Performance FNO pipeline for Three-phase Flow in Porous Media
G. Barros (UFRJ), R. Silva (UFRJ), A. Oliveira (UFRJ), E. Santos (UFRJ), R. Freitas (UFRJ), D. Velveti (ExxonMobil), X. Wu (ExxonMobil), F. Rochinha (UFRJ), *A. Coutinho (UFRJ)