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09/14/2023
Physics-constrained robust learning of open-form PDEs from limited and noisy data
Unveiling the underlying governing equations of nonlinear dynamic system...
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DISCOVER: Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning
The working mechanisms of complex natural systems tend to abide by conci...
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AutoKE: An automatic knowledge embedding framework for scientific machine learning
Imposing physical constraints on neural networks as a method of knowledg...
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