MS119A Computational Mechanics-Inspired Machine Learning for Forward and Inverse Problems I
Main Organizer:
Dr.
Sourav Saha
(
Virginia Tech
, United States
)
Scheduled presentations:
-
Advanced Computational Techniques and Deep Learning Algorithms for Automated Modeling of Materials
-
Built for AI, used for Solid Mechanics: Automatic Differentiation, Multi-GPU and Mixed Precision for Inverse Problems
-
Reducing the Cost of Differentiable Physics Solvers During Training
-
Hybrid Method for Statistical Mean Estimation in Bayesian Inversion and Filtering Problems with Deep Learning Surrogate
-
Holomorphic-PINNs: A Novel Framework for Kirchhoff Plate Bending
