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Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics

proceedings.mlr.press · 902 words · saved by 1 readers

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Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik Proceedings of the 40th International Conference on Machine Learning , PMLR 202:23279-23300, 2023. Abstract We propose a hybrid neural network (NN) and PDE approach for learning generalizable PDE dynamics from motion observations. Many NN approaches learn an end-to-end model that implicitly models both the governing PDE and constitutive models (or material models). Without explicit PDE knowledge, these a

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