Work

End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures

Year: 2021

Type: article

Source: Journal of the Mechanics and Physics of Solids

DOI: 10.1016/j.jmps.2021.104506

Authors: Zhenze Yang, Chi-Hua Yu, Kai Guo, Markus J. Buehler

Institutions: Massachusetts Institute of Technology, National Cheng Kung University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Office of Naval Research, Air Force Office of Scientific Research, Army Research Office

Awards: G3040920244, G3174313537, G3488964505, G5226628132, G5430823246

OpenAlex ID: W3166589044

FWCI: 6.882

Cites: 41

Cited by: 145

Related to: 10