<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Phase Prediction of Multi-principal Element Alloys Using Support Vector Machine and Bayesian Optimization"^^ . "Designing new materials with desired properties is a complex and time-consuming process. One of the challenging factors of the design process is the huge search space of possible materials. Machine learning methods such as k-nearest neighbours, support vector machine (SVM) and artificial neural network (ANN) can contribute to this process by predicting materials properties accurately. Properties of multi-principal element alloys (MPEAs) highly depend on alloys’ phase. Thus, accurate prediction of the alloy’s phase is important to narrow down the search space. In this paper, we propose a solution of employing support vector machine method with hyperparameters tuning and the use of weights values for prediction of the alloy’s phase. Using the dataset consisting of the experimental results of 118 MPEAs, our solution achieves the cross-validation accuracy of 90.2%. We confirm the superiority of this score over the performance of ANN statistically. On the other dataset containing 401 MPEAs, our SVM model is comparable to ANN and exhibits 70.6% cross-validation accuracy."^^ . "2021-04" . . . . . . . . . . . . . . . . "Masatoshi"^^ . "Kubo"^^ . "Masatoshi Kubo"^^ . . "Viet Hai"^^ . "Le"^^ . "Viet Hai Le"^^ . . "Tomoyuki"^^ . "Yamamoto"^^ . "Tomoyuki Yamamoto"^^ . . "Hai Chau"^^ . "Nguyen"^^ . "Hai Chau Nguyen"^^ . . . . "13th Asian Conference on Intelligent Information and Database Systems 2021 (ACIIDS 2021)"^^ . . . . . "Phuket, Thailand"^^ . . . . . "HTML Summary of #4389 \n\nPhase Prediction of Multi-principal Element Alloys Using Support Vector Machine and Bayesian Optimization\n\n" . "text/html" . . . "Information Technology (IT)"@en . . . "Engineering Physics" . .