Machine learning for phase selection in multi-principal element alloys

Nusrat Sharmin Islam; Wenjiang Huang; Houlong Zhuang

doi:10.1016/j.commatsci.2018.04.003

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Machine learning for phase selection in multi-principal element alloys

Nusrat Sharmin Islam Wenjiang Huang Houlong Zhuang

Year: 2018 Journal: Computational Materials Science Vol: 150 Pages: 230-235 Publisher: Elsevier BV

DOI: 10.1016/j.commatsci.2018.04.003

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Keywords:

Intermetallic High entropy alloys Artificial neural network Artificial intelligence Valence (chemistry) Principal component analysis Computer science Pattern recognition (psychology) Entropy (arrow of time) Amorphous metal Generalization Machine learning Valence electron Materials science Biological system Alloy Thermodynamics Chemistry Mathematics Electron Metallurgy Physics

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High Entropy Alloys Studies

Physical Sciences → Engineering → Mechanical Engineering

Chalcogenide Semiconductor Thin Films

Physical Sciences → Engineering → Electrical and Electronic Engineering

High-Temperature Coating Behaviors

Physical Sciences → Engineering → Aerospace Engineering

Machine learning for phase selection in multi-principal element alloys

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