Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the $\sigma -$phase as an example

Jean-Claude Crivello, Nataliya Sokolovska, Jean-Marc Joubert

Machine learning (ML) methods are becoming integral to scientific inquiry in numerous disciplines, such as material sciences. In this manuscript, we demonstrate how ML can be used…