APPLICATION OF MACHINE LEARNING METHODS FOR STUDYING OF CRYSTAL STRUCTURES PROPERTIES

In this work was described a model that allows obtaining the potential energy values of crystal structures using machine learning methods. The developed model was trained on the data obtained with the Tersoff and Morse potentials, using the selected parameters for Si, Ge, C, Al, W, Cu, Fe.