On the use of graph neural networks and shape‐function‐based gradient computation in the deep energy method
From MaRDI portal
Publication:6092138
DOI10.1002/nme.7146arXiv2207.07216MaRDI QIDQ6092138
Seid Koric, Iwona Jasiuk, Junyan He, Diab W. Abueidda
Publication date: 23 November 2023
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2207.07216
elasticityautomatic differentiationpartial differential equationshyperelasticityphysics-informed neural networks
Mathematical programming (90Cxx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx) Operations research, mathematical programming (90-XX)
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