most citedAn unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator

39 citations · 39 across the 1 of their papers we have counts for

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cs.LG2022★ 39 cited

An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator

A. Mavi, A. C. Bekar, E. Haghighat +1

This study presents a novel unsupervised convolutional Neural Network (NN) architecture with nonlocal interactions for solving Partial Differential Equations (PDEs). The nonlocal P…