Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
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Publication:6125484
DOI10.1016/j.cma.2024.116827arXiv2307.13149OpenAlexW4391669221WikidataQ128412538 ScholiaQ128412538MaRDI QIDQ6125484
Bahador Bahmani, Hyoung Suk Suh, WaiChing Sun
Publication date: 11 April 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2307.13149
computational plasticitysymbolic regressionlevel-set modelneural additive modelquadratic neural model
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