f-PICNN: a physics-informed convolutional neural network for partial differential equations with space-time domain

DOI10.1016/j.jcp.2024.113284MaRDI QIDQ6614990

Ana Heitor, He Wang, Biao Yuan, Xiaohui Chen

Publication date: 8 October 2024

Published in: Journal of Computational Physics (Search for Journal in Brave)

zbMATH Keywords

partial differential equationsauto-regressive modelfinite discretizationmemory mechanismnonlinear convolutional units (NCUs)physics-informed convolutional neural network

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx)

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