MS119A Computational Mechanics-Inspired Machine Learning for Forward and Inverse Problems I
Main Organizer:
Dr.
Sourav Saha
(
Virginia Tech
, United States
)
Chaired by:
Dr. ZHENGTAO GAN (Arizona State University , United States) , Prof. Tianju Xue (The Hong Kong University of Science and Technology , China, Hong Kong)
Dr. ZHENGTAO GAN (Arizona State University , United States) , Prof. Tianju Xue (The Hong Kong University of Science and Technology , China, Hong Kong)
Scheduled presentations:
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Advanced Computational Techniques and Deep Learning Algorithms for Automated Modeling of Materials
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Built for AI, used for Solid Mechanics: Automatic Differentiation, Multi-GPU and Mixed Precision for Inverse Problems
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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
