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

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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Bibliographic Details
Main Authors: G. Hayashi, K. Suzuki, T. Terai, H. Fujii, M. Ogura, K. Sato
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
high-entropy alloy
elastic constant
young’s modulus
first-principles calculation
machine learning
Online Access:http://dx.doi.org/10.1080/27660400.2022.2125853

Internet

http://dx.doi.org/10.1080/27660400.2022.2125853

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