Machine learning methods to predict superhard materials

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. This work is supported by Russian Science Foundation. Superhard materials have recently attracted increasing research interest due to their potential implications for industries broadly ranging from oil Read more about Machine learning methods to predict superhard materials[…]