Scientists predict new superhard materials – Phys.org

A group of Skoltech scientists used machine learning (ML) methods to predict superhard materials based on their crystal structure.
The research was published in the Journal of Applied Physics.
Superhard materials have recently attracted increasing research interest due to their potential implications for industries broadly ranging from oil production to high technology manufacturing. A superhard material has two crucial features, hardness and fracture toughness, that represent its resistance t…

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