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

DOI10.1016/J.CMA.2023.115944arXiv2210.12177MaRDI QIDQ6414718

Arda Mavi, Ehsan Haghighat, Ali C. Bekar, Erdogan Madenci

Publication date: 21 October 2022

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Numerical and other methods in solid mechanics (74S99)

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