"A mixed formulation for physics-informed neural networks as a potential ..."

Shahed Rezaei et al. (2022)

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DOI: 10.48550/ARXIV.2206.13103

access: open

type: Informal or Other Publication

metadata version: 2023-09-30

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  - journals/corr/abs-2206-13103
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  - https://dblp.org/rec/journals/corr/abs-2206-13103
Shahed Rezaei, Ali Harandi, Ahmad Moeineddin, Bai-Xiang Xu, Stefanie Reese:
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method. CoRR abs/2206.13103 (2022)

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