Phase prediction of high-entropy alloys based on machine learning and an improved information fusion approach
- PAR ID:
- 10553142
- Publisher / Repository:
- Elsevier
- Date Published:
- Journal Name:
- Computational Materials Science
- Volume:
- 239
- Issue:
- C
- ISSN:
- 0927-0256
- Page Range / eLocation ID:
- 112976
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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