Support Vector Machine-Based Phase Prediction of Multi-Principal Element Alloys

Designing new materials with desired properties is a complex and time-consuming process. One of the most challenging factors of the design process is the huge search space of possible materials. Machine learning methods such as k -nearest neighbors, support vector machine (SVM) and artificial neural...

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Veröffentlicht in:	Vietnam journal of computer science 2023-02, Vol.10 (1), p.101-116
Hauptverfasser:	Chau, Nguyen Hai, Kubo, Masatoshi, Hai, Le Viet, Yamamoto, Tomoyuki
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian optimization high-entropy alloys Multi-principal element alloys phase prediction support vector machine
Online-Zugang:	Volltext
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