kailaix

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                                            kailaix

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Automatic Differentiation Library for Computational and Mathematical Engineering

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Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

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A General Approach to Seismic Inversion Problems using Automatic Differentiation

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Neural Network Approach for Data-Driven Constitutive Modeling

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CS230 Project: Deep Learning for PDE