First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation

Kim, George; Diao, Haoyan; Lee, Chanho; Samaei, A. T.; Phan, Tu; de Jong, Maarten; An, Ke; Ma, Dong; Liaw, Peter K.; Chen, Wei

doi:10.1016/j.actamat.2019.09.026

Title: First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation

Journal Article · 01 December 2019 · Acta Materialia

DOI: https://doi.org/10.1016/j.actamat.2019.09.026 · OSTI ID:1570012

Kim, George; Diao, Haoyan; Lee, Chanho; Samaei, A. T.; Phan, Tu; de Jong, Maarten;

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Sponsoring Organization:: USDOE

OSTI ID:: 1570012

Journal Information:: Acta Materialia, Journal Name: Acta Materialia Journal Issue: C Vol. 181; ISSN 1359-6454

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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