MS090A Machine Learning For Computational Mechanics Across Scales I
Main Organizer:
Prof.
Fadi Aldakheel
(
Leibniz Universität Hannover
, Germany
)
Chaired by:
Prof. Fadi Aldakheel (Leibniz Universität Hannover , Germany) , Prof. WaiChing Sun (Columbia University , United States)
Prof. Fadi Aldakheel (Leibniz Universität Hannover , Germany) , Prof. WaiChing Sun (Columbia University , United States)
Scheduled presentations:
-
Keynote
COMMET: Orders-of-Magnitude Speed-Up in Finite Element Method Via Batch-Vectorized Neural Constitutive Updates
-
Neural-Network-Assisted Approach for Accelerating Continuum-Kinematics-Inspired Peridynamics Simulations
-
Deep-Learned Material Patches for Finite Element Solutions
-
Using machine learning (ML) to accelerate multi-time-step (MTS) coupling methods for generalized Runge-Kutta-Nyström (GRKN) schemes in structural dynamics
-
Neural-network-assisted Newton-Raphson Method for Elastoplastic Problems in Implicit MPM
