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Strain engineering guided by machine learning

By Omar Fabián January 13, 2020

MRS Bulletin Materials News Podcast

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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 can be designed. Read the article in Proceedings of the National Academy of Sciences.