Machine learning assisted prediction of the Young’s modulus of compositionally complex alloys

Machine learning assisted prediction of the Young’s modulus of compositionally complex alloys

Abstract We identify compositionally complex alloys (CCAs) that offer exceptional mechanical properties for elevated temperature applications by employing machine learning (ML) in conjunction with rapid synthesis and testing of alloys for validation to accelerate alloy design. The advantages of this...

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Autores principales: Hrishabh Khakurel, M. F. N. Taufique, Ankit Roy, Ganesh Balasubramanian, Gaoyuan Ouyang, Jun Cui, Duane D. Johnson, Ram Devanathan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/d6e2398d05ad4fa1a7a1bef2dc4dd12f
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