AI speeds up development of new high-entropy alloys

Developing new materials takes a lot of time, money and effort. Recently, a POSTECH research team has taken a step closer to creating new materials by applying AI to develop high-entropy alloys (HEAs) which are coined as "alloy of alloys." A joint research team led by Professor Seungchul Lee, Ph.D. candidate Soo Young Lee, Professor Hyungyu Jin and Ph.D. candidate Seokyeong Byeon of the Department of Mechanical Engineering along with Professor Hyoung Seop Kim of the Department of Materials Science and Engineering have together developed a technique for phase prediction of HEAs using AI. The findings from the study were published in the latest issue of Materials and Design, an international journal on materials science. Metal materials are conventionally made by mixing the principal element for the desired property with two or three auxiliary elements.