Towards high entropy alloy with enhanced strength and ductility using domain knowledge constrained active learning

Towards high entropy alloy with enhanced strength and ductility using domain knowledge constrained active learning

The simultaneous optimization of competing properties is a challenge of machine learning based materials design. We proposed a domain knowledge constrained active learning loop for the design of high entropy alloys with optimized strength and ductility, by narrowing down the unexplored space using t...

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Bibliographic Details
Main Authors: Hongchao Li, Ruihao Yuan, Hang Liang, William Yi Wang, Jinshan Li, Jun Wang
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Materials & Design
Subjects:
Active learning
Domain knowledge
Bayesian optimization
High-entropy alloys
Mechanical properties
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127522008085

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http://www.sciencedirect.com/science/article/pii/S0264127522008085

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