Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks-Reference-Cited by-同舟云学术

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Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks

Published:2021-05 Issue:5 Volume:2 Page:100243
ISSN:2666-3899
Container-title:Patterns
language:en
Short-container-title:Patterns

Author:

Yang Kaiqi,Cao Yifan,Zhang Youtian,Fan Shaoxun^ORCID,Tang Ming^ORCID,Aberg Daniel,Sadigh Babak^ORCID,Zhou Fei^ORCID

Funder

NSF DMR

US Department of Energy

ACS Petroleum Research Fund

Publisher

Elsevier BV

Subject

General Decision Sciences

Reference104 articles.

1. Phase-Field Methods in Materials Science and Engineering;Provatas,2010

2. Phase-field models for microstructure evolution;Chen;Annu. Rev. Mater. Res.,2008

3. An introduction to phase-field modeling of microstructure evolution;Moelans;Calphad,2008

4. Phase-field models in materials science;Steinbach;Model. Simulat. Mater. Sci. Eng.,2009

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