Science
Scientists predict superhard materials based on their crystal structure – Tech Explorist
A group of Skoltech scientists used machine learning (ML) methods to predict superhard materials based on their crystal structure.
Superhard materials are of the incredible interest in different handy applications, and an increasing number of research efforts are centered around their turn development.
A superhard material has two crucial features, hardness, and fracture toughness, representing its resistance to deformation and cracks propagation, respectively.
Materials with such properties that would suit specific industry necessities can be discovered computationally using progressed techniques for computational materi…
-
General7 hours agoRSL NSW president Mick Bainbridge and three board members resign in wake of 7.30 investigation into conflicts of interest
-
General18 hours agoNewsCorp executive warns AI firms are asking Australia to ‘surrender our stories’
-
General23 hours agoWomen’s Cricket World Cup live: Australia vs Pakistan scores, stats, results and commentary
-
General22 hours agoTrio of scientists win Nobel Prize in Chemistry for ‘development of metal-organic frameworks’