Phase Prediction And Experimental Realisation Of A New High Entropy Alloy Using Machine Learning

This paper discusses the use of machine learning to predict the crystal structure and mechanical properties of high entropy alloys (HEAs). Five algorithms were tested on a large dataset of HEAs obtained from melting and casting manufacturing methods. The results showed that the algorithms were able to accurately predict the crystal structure and mechanical properties of the HEAs.