Work

Improving mechanical and electrical properties of Cu-Ni-Si alloy via machine learning assisted optimization of two-stage aging processing

Year: 2024

Type: article

Source: Journal of Material Science and Technology

DOI: 10.1016/j.jmst.2024.09.039

Authors: Jinyu Liang, Fan Zhao, Guoliang Xie, Rui Wang, Xiao Liu, Wenli Xue, Xinhua Liu

Institutions: Beijing Laboratory of Metallic Materials and Processing for Modern Transportation, University of Science and Technology Beijing, Liaoning Academy of Materials, State Key Laboratory for Advanced Metals and Materials, Henan Academy of Sciences

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: China Association for Science and Technology, National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, China Academy of Space Technology, National Key Research and Development Program of China

Awards: G1773702449, G2128425695, G6660307973, G7272527338, G7704936459

OpenAlex ID: W4403527344

FWCI: 3.587

Cites: 32

Cited by: 41

Related to: 10