Machine learning for phase selection in multi-principal element alloys

• Published in: Computational materials science Vol. 150; pp. 230 - 235
• Main Authors: Islam, Nusrat, Huang, Wenjiang, Zhuang, Houlong L.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2018
• Subjects: High entropy alloys; Machine learning; Multiprincipal element alloys; Phase selection; High entropy alloys; Phase selection; Multiprincipal element alloys; Machine learning
• ISSN: 0927-0256; 1879-0801
• DOI: 10.1016/j.commatsci.2018.04.003

Multi-principal element alloys (MPEAs) especially high entropy alloys have attracted significant attention and resulted in a novel concept of designing metal alloys via exploring the wide composition space. Abundant experimental data of MPEAs are available to show connections between elemental prope...