Kinetics of phase transition and critical phenomena:
Our research focuses on understanding equilibrium and nonequilibrium statistical mechanics, particularly in systems undergoing phase transitions—such as paramagnetic to ferromagnetic, solid-solid, vapor-liquid, and vapor-solid transitions. We use simplified models and simulation techniques like Monte Carlo, molecular dynamics, and continuum models to explore these phenomena. When a system undergoes a phase transition, it moves from a disordered to an ordered state through the formation and growth of domains. The structure and evolution of these domains depend on factors like dimensionality, composition, and density. We analyze how domain patterns emerge and grow, often following power-law scaling, and quantify the growth exponents for various systems.
We also investigate aging dynamics, studying how systems relax over time after being quenched out of equilibrium. By analyzing two-time correlation functions and applying finite-size scaling, we estimate aging exponents with high precision. In the realm of dynamic critical phenomena, we examine how transport properties behave near critical points, identifying critical singularities using finite-size scaling methods. Our work provides a deeper understanding of pattern formation, scaling laws, and relaxation dynamics in phase-transition systems.