Improving the performance of machine learning model predicting phase and crystal structure of high entropy alloys by the synthetic minority oversampling technique
K Hareharen, T Panneerselvam, RR Mohan - Journal of Alloys and …, 2024 - Elsevier
It is critical to select the suitable integration of elements that has an influence on phase
formation when selecting the proper High Entropy Alloys (HEAs) with desired qualities …
formation when selecting the proper High Entropy Alloys (HEAs) with desired qualities …
Machine learning‐based crystal structure prediction for high‐entropy oxide ceramics
J Liu, A Wang, P Gao, R Bai, J Liu… - Journal of the …, 2024 - Wiley Online Library
Predicting the crystal structure is essential to address the reliance on serendipity for
facilitating the discovery and design of high‐performance high‐entropy oxides (HEOs) …
facilitating the discovery and design of high‐performance high‐entropy oxides (HEOs) …
[HTML][HTML] Machine Learning based Prediction of Young's Modulus of Stainless Steel coated with High Entropy Alloys
N Radhika, M Sabarinathan, S Ragunath… - Results in …, 2024 - Elsevier
Abstract The High Entropy Alloy (HEA) coatings exhibit diverse properties contingent upon
their composition and microstructure, addressing current industrial requirements. Machine …
their composition and microstructure, addressing current industrial requirements. Machine …