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most citedDISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning

2 citations · 5 across the 8 of their papers we have counts for

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cs.LG2022★ 2 cited

DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning

Mengge Du, Yuntian Chen, Dongxiao Zhang

The working mechanisms of complex natural systems tend to abide by concise and profound partial differential equations (PDEs). Methods that directly mine equations from data are ca…

cs.LG2022★ 1 cited

AutoKE: An automatic knowledge embedding framework for scientific machine learning

Mengge Du, Yuntian Chen, Dongxiao Zhang

Imposing physical constraints on neural networks as a method of knowledge embedding has achieved great progress in solving physical problems described by governing equations. Howev…