Prediction model of elastic constants of BCC high-entropy alloys based on first-principles calculations and machine learning techniques

By combining first-principles electronic structure calculations and machine learning techniques, prediction models of elastic constants are constructed for BCC high-entropy alloys (HEA) containing 5 different elements chosen from 3d, 4d and 5d transition metals with equal concentration. Three indepe...

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Autori principali:	G. Hayashi, K. Suzuki, T. Terai, H. Fujii, M. Ogura, K. Sato
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2022-12-01
Serie:	Science and Technology of Advanced Materials: Methods
Soggetti:	high-entropy alloy elastic constant young’s modulus first-principles calculation machine learning
Accesso online:	http://dx.doi.org/10.1080/27660400.2022.2125853
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