Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

出版年份 2019 全文链接

标题

作者

关键词

Deep Neural Networks, Chemical potential, Phase field, Multiscale physics

出版物

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Volume 353, Issue -, Pages 201-216

出版商

Elsevier BV

发表日期

2019-05-21

DOI

10.1016/j.cma.2019.05.019

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