Work

Machine Learning-Driven Design and Discovery of High-Entropy Alloys: A Critical Review of Recent Advances and Future Perspectives

Year: 2025

Type: article

Source: Metals and Materials International

DOI: 10.1007/s12540-025-02116-1

Author: Mohammad Javad Akbari

Institution: University of Zanjan

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4416720641

FWCI: 1.437

Cites: 61

Cited by: 8

Related to: 10