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Data-driven physics-constrained recurrent neural networks for multiscale damage modeling of metallic alloys with process-induced porosity.

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Bibliographic Details
Title: Data-driven physics-constrained recurrent neural networks for multiscale damage modeling of metallic alloys with process-induced porosity.
Authors: Deng, Shiguang1,2 (AUTHOR), Hosseinmardi, Shirin3 (AUTHOR), Wang, Libo1 (AUTHOR), Apelian, Diran1 (AUTHOR), Bostanabad, Ramin3 (AUTHOR) Raminb@uci.edu
Source: Computational Mechanics. Jul2024, Vol. 74 Issue 1, p191-221. 31p.
Database: Academic Search Ultimate
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Description
ISSN:01787675
DOI:10.1007/s00466-023-02429-1