2025
DOI: 10.1088/1674-1056/ad8ec8
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Database of ternary amorphous alloys based on machine learning

Xuhe 旭菏 Gong 巩,
Ran 然 Li 李,
Ruijuan 睿娟 Xiao 肖
et al.

Abstract: The unique long-range disordered atomic arrangement inherent in amorphous materials endows them with a range of superior properties, rendering them highly promising for applications in catalysis, medicine, and battery technology, among other fields. Since not all materials can be synthesized into an amorphous structure, the composition design of amorphous materials holds significant importance. Machine learning offers a valuable alternative to traditional “trial-and-error” methods by predicting properties thro… Show more

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