Science
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.

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…
-
Noosa News23 hours ago
Gippsland farmer blocks AusNet maintenance workers from entering property
-
Business21 hours ago
Which Aussie tech stock is up more than sixfold for the week?
-
Noosa News21 hours ago
Baby humpback whale caught in shark netting off Marcoola Beach on Sunshine Coast
-
Noosa News24 hours ago
Operation Spring Break, North Coast Region