AI model predicts new metal-doped compounds with enhanced mechanical properties

A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting the modification of material properties. Artificial intelligence models that were pre-trained on a small amount of data enabled a significant increase in the calculation of the formation energies in possible configurations of higher tungsten boride doped with other metals.