160 citations · 171 across the 8 of their papers we have counts for
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physics.comp-ph2021★ 3 cited
A neural ordinary differential equation framework for modeling inelastic stress response via internal state variables
R. E. Jones, A. L. Frankel, K. L. Johnson
We propose a neural network framework to preclude the need to define or observe incompletely or inaccurately defined states of a material in order to describe its response. The neu…
cs.LG2021
Mesh-based graph convolutional neural networks for modeling materials with microstructure
Ari Frankel, Cosmin Safta, Coleman Alleman +1
Predicting the evolution of a representative sample of a material with microstructure is a fundamental problem in homogenization. In this work we propose a graph convolutional neur…