superhard materials

Machine learning model predicts superhard materials from crystal structure

By Lisa McDonald / September 25, 2020

Conventionally, theoretical models are unable to predict a material’s hardness from its crystal structure because the underlying physical principles are complex. A new machine learning model developed by two researchers at Skolkovo Institute of Science and Technology succeeds in making such predictions in a fast and reliable manner.

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Other materials stories that may be of interest

By / December 4, 2012

So much to read, so little time. Maybe try anyway: Scientists discover novel way to ‘heal’ defects in materials In a paper published in Nature Materials, a team of researchers…

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