Professor Alexander Kvashnin from the Energy Transition Center and his colleagues used deep neural network-based potentials of interatomic interaction to calculate the maximum melting point of high-entropy carbonitrides — compounds of titanium, zirconium, tantalum, hafnium, and niobium with carbon and nitrogen. The results indicate that high-entropy carbonitrides can be used as promising materials for protective coatings of equipment operating under the extreme conditions of high temperature, thermal shock, and chemical corrosion. Find out more on CNews (RUS), Naked Science (RUS), and on the Skoltech website (ENG).