MS267A Deep and Machine Learning Methodology in the Context of Application to Computational Mechanics I
Main Organizer:
Prof.
Yoshitaka Wada
(
Kindai University
, Japan
)
Scheduled presentations:
-
Application of Convolutional Neural Networks for the Surrogate Modelling of Microstructural Evolution Under Non-Linear Deformations
-
Application of Graph Neural Networks to Accelerate Finite Element Simulations
-
Operation Scenario Generation utilizing Deep Learning Architecture
-
High-Precision Estimation of a Hyperelastic Constitutive Model Using Machine Learning
-
Application of Machine Learning to Pipe Blockage Diagnosis Using Digital Hammering Inspection
