Deep learning study of nonequilibrium phase transitions in ferromagnetic systems under effective interactions
Phase transitions play a central role in statistical physics and are well understood in systems at thermal equilibrium. However, their nonequilibrium counterparts remain less explored because of the lack of a unified theoretical framework. In this study, we examine the potential of deep learning, specially convolutiona...