Episode 1: Strain engineering guided by machine learning

MRS Bulletin Materials News Podcast · Jan 13, 2020 · 6m

Omar Fabián of MRS Bulletin interviews Ju Li of Massachusetts Institute of Technology about applying machine learning to elastic strain engineering of semiconductor materials at the nanoscale. The research team presents a framework for guiding strain engineering whereby materials properties and performance could be designed. Read the article in Proceedings of the National Academy of Sciences.TranscriptOMAR FABIÁN: There are innumerable ways to alter a material’s properties. For crystalline materials it comes down to lattice structure, to the shape of the unit cell. That’s the key to unlocking…