Prediction and design of high hardness high entropy alloy through machine learning
[Display omitted] •Particle swarm algorithm is used to inversely optimize the alloy composition according to target performance.•An optimized feature set including 3 features is obtained by GA, interpretable ML and solid-solution strengthening.•A general design framework is summarized for prediction...
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Published in | Materials & design Vol. 235; p. 112454 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.11.2023
Elsevier |
Subjects | |
Online Access | Get full text |
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