Work

Robust deep learning framework for constitutive relations modeling

Year: 2023

Type: article

Source: Acta Materialia

DOI: 10.1016/j.actamat.2023.118959

Authors: Qing-Jie Li, Mahmut Nedim Cinbiz, Yin Zhang, Qi He, Geoffrey Beausoleil, Ju Li

Institutions: Massachusetts Institute of Technology, Idaho National Laboratory

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Energy, Battelle, Office of Nuclear Energy, Idaho Operations Office, U.S. Department of Energy, Division of Civil, Mechanical and Manufacturing Innovation, Laboratory Directed Research and Development, Idaho National Laboratory

Awards: G127156130, G2008391465, G2873784832, G3439656048, G6293982872, G8107216495, DMREF: Collaborative Research: Fundamentals of Short-Range Order-Assisted Alloy Design: Thermodynamics, Kinetics, Mechanics

OpenAlex ID: W4366779615

FWCI: 2.177

Cites: 40

Cited by: 31

Related to: 10