Prediction of phases in high entropy alloys using machine learning
R Bobbili, B Ramakrishna - Materials Today Communications, 2023 - Elsevier
Predicting the phases of high entropy alloys (HEAs) is a complex task as it depends on a
large number of thermal, physical and geometrical parameters. The phases consist of …
large number of thermal, physical and geometrical parameters. The phases consist of …
The use of generative models to speed up the discovery of materials
AG Coto, CE Precker, T Andersson… - Computer Methods in …, 2023 - yadda.icm.edu.pl
Material Science is a key factor in the evolution of many industrial sectors. Fields such as the
aeronautics, automotive, construction, and biotechnology industries have experienced …
aeronautics, automotive, construction, and biotechnology industries have experienced …