Prof. Esposito’s research aims to advance nonequilibrium thermodynamics as a unifying framework for understanding energy and information flows across physical, chemical, and biological systems. His group develops theoretical approaches for chemical reaction networks, Potts models, nonlinear electronic circuits, and quantum systems. These methods are applied to problems such as metabolic energy transduction, active matter, self-replication, and noise-driven information processing. The research combines analytically solvable models, computational studies, and interactions with experimental groups.