We study the off-equilibrium behavior of systems with short-range interactions, slowly driven across a thermal first-order transition, where the equilibrium dynamics is exponentially slow. We consider a dynamics that starts in the high-T phase at time t = t_i < 0 and ends at time t_f > 0. in the low-T phase, with a time-dependent temperature T(t)/T_c = 1 - t/t_s, where t_s is the protocol time scale. A general off-equilibrium scaling (OS) behavior emerges in the limit of large t_s. We check it at the first-order transition of the two-dimensional q-state Potts model with q=20 and 10. The numerical results show evidence of a dynamic transition, where the OS functions show a spinodal-like singularity. Therefore, the general mean-field picture valid for systems with long-range interactions is qualitatively recovered, provided the time dependence is appropriately (logarithmically) rescaled.
Dynamic Off-Equilibrium Transition in Systems Slowly Driven across Thermal First-Order Phase Transitions / Pelissetto, Andrea; Vicari, Ettore. - In: PHYSICAL REVIEW LETTERS. - ISSN 0031-9007. - STAMPA. - 118:3(2017), p. 030602. [10.1103/PhysRevLett.118.030602]
Dynamic Off-Equilibrium Transition in Systems Slowly Driven across Thermal First-Order Phase Transitions
PELISSETTO, Andrea;
2017
Abstract
We study the off-equilibrium behavior of systems with short-range interactions, slowly driven across a thermal first-order transition, where the equilibrium dynamics is exponentially slow. We consider a dynamics that starts in the high-T phase at time t = t_i < 0 and ends at time t_f > 0. in the low-T phase, with a time-dependent temperature T(t)/T_c = 1 - t/t_s, where t_s is the protocol time scale. A general off-equilibrium scaling (OS) behavior emerges in the limit of large t_s. We check it at the first-order transition of the two-dimensional q-state Potts model with q=20 and 10. The numerical results show evidence of a dynamic transition, where the OS functions show a spinodal-like singularity. Therefore, the general mean-field picture valid for systems with long-range interactions is qualitatively recovered, provided the time dependence is appropriately (logarithmically) rescaled.File | Dimensione | Formato | |
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