A comparative study of predicting high entropy alloy phase fractions with traditional machine learning and deep neural networks
Author:
Funder
DOE | LDRD | Lawrence Livermore National Laboratory
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41524-024-01335-1.pdf
Reference84 articles.
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3. Ma, E. & Wu, X. Tailoring heterogeneities in high-entropy alloys to promote strength–ductility synergy. Nat. Commun. 10, 5623 (2019).
4. Shi, P. et al. Enhanced strength–ductility synergy in ultrafine-grained eutectic high-entropy alloys by inheriting microstructural lamellae. Nat. Commun. 10, 489 (2019).
5. Miracle, D. & Senkov, O. A critical review of high entropy alloys and related concepts. Acta Mater. 122, 448–511 (2017).
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