MS106D Advances in Model Order Reduction: Bridging Physics and Machine Learning IV
Main Organizer:
Dr.
Youngsoo Choi
(
Lawrence Livermore National Laboratory
, United States
)
Chaired by:
Dr. Youngsoo Choi (Lawrence Livermore National Laboratory , United States) , Dr. Siu Wun Cheung (Lawrence Livermore National Laboratory , United States)
Dr. Youngsoo Choi (Lawrence Livermore National Laboratory , United States) , Dr. Siu Wun Cheung (Lawrence Livermore National Laboratory , United States)
Scheduled presentations:
-
Adaptive Hybrid Domain Decomposition-Based Modeling via Operator Inference and the Schwarz Alternating Method
-
A Reduced-Order Domain Decomposition Strategy for Thermomechanical Simulations of Microelectronics Interconnects
-
Graph-Based Hierarchical Reduced-Order Modeling for Large-Scale Electromagnetic Field Analysis
-
Reduced Basis Methods for Domain Uncertainty Quantification of Periodic Gratings
-
Model Order Reduction for Quantum Molecular Dynamics
-
Physics-informed Variational Operator Learning for Multiscale Phase-field Fracture in Composites
