Work

Empowering the Sustainable Development of High‐End Alloys via Interpretive Machine Learning

Year: 2024

Type: article

Source: Advanced Materials

DOI: 10.1002/adma.202404478

Authors: Hongtao Zhang, Huadong Fu, Weidong Li, Lei Jiang, Wei Yong, Jingtai Sun, Long‐Qing Chen, Jianxin Xie

Institutions: University of Science and Technology Beijing, Beijing Laboratory of Metallic Materials and Processing for Modern Transportation, University of Tennessee at Knoxville, Pennsylvania State University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: G1503300640, G4986853290, G5580366259, G6775383831, G7603460979

OpenAlex ID: W4403378679

FWCI: 4.926

Cites: 65

Cited by: 52

Related to: 10