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physics.comp-ph2019★ 1 cited
Prediction of the evolution of the stress field of polycrystals undergoing elastic-plastic deformation with a hybrid neural network model
Ari Frankel, Kousuke Tachida, Reese Jones
Crystal plasticity theory is often employed to predict the mesoscopic states of polycrystalline metals, and is well-known to be costly to simulate. Using a neural network with conv…
physics.comp-ph2018
Machine learning models of plastic flow based on representation theory
Reese E. Jones, Jeremy A. Templeton, Clay M. Sanders +1
We use machine learning (ML) to infer stress and plastic flow rules using data from repre- sentative polycrystalline simulations. In particular, we use so-called deep (multilayer)…