Work

Deep learning based design of porous graphene for enhanced mechanical resilience

Year: 2022

Type: article

Source: Computational Materials Science

DOI: 10.1016/j.commatsci.2022.111270

Authors: Chi-Hua Yu, Chang-Yan Wu, 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

OpenAlex ID: W4212966686

FWCI: 1.477

Cites: 32

Cited by: 22

Related to: 10