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A dual-scale framework integrating machine learning and molecular dynamics for accelerating discovery of high-hardness carbon-doped CoCrFeNiMn high-entropy alloys

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Year: 2026
Type: article
Source: Vacuum
DOI: 10.1016/j.vacuum.2026.115762
Authors: Haotai Xu, Junqin Shi, Xiaoli Fan, Xiaoliang Wang, Fuhong Hu, Bin Zhao, Xinming Cao, Jun Cao
Institutions: Northwestern Polytechnical University, State Key Laboratory of Solidification Processing, Wenzhou University
Language: English

Topic: High Entropy Alloys Studies
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences

Open Access status: closed

Funders: Natural Science Foundation of Shaanxi Province, Primary Research and Development Plan of Zhejiang Province, National Science and Technology Major Project, State Key Laboratory of Solidification Processing, National Major Science and Technology Projects of China, Key Research and Development Program of Zhejiang Province
Awards: G1042400886, G2832371052, G3201061770, G8968882175
OpenAlex ID: W7203764028
FWCI:
Cites: 31
Cited by:
Related to: 10
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