Machine learning makes light work of hard materials
Algorithm successfully identifies superhard compounds, eliminating the need for lengthy trial and error
A machine learning algorithm developed by US researchers can speed up the discovery of materials with desirable properties. Screening a database of over 100,000 compounds, computers predicted the most promising superhard materials, which the team confirmed by synthesising two of the best candidates.