Finite-dimensional signature of spinodal instability in an athermal hysteretic transition
arXiv:2210.04057 · doi:10.1103/PhysRevB.107.024103
Abstract
We study the off-equilibrium critical phenomena across a hysteretic first-order transition in disordered athermal systems. The study focuses on the zero temperature random field Ising model (ZTRFIM) above the critical disorder for spatial dimensions and . We use Monte Carlo simulations to show that disorder suppresses critical slowing down in phase ordering time for finite-dimensional systems. The dynamic hysteresis scaling, the measure of explicit finite-time scaling, is used to subsequently quantify the critical slowing down. The scaling exponents in all dimensions increase with disorder strength and finally reach a stable value where the transformation is no longer critical. The associated critical behavior in the mean-field limit is very different, where the exponent values for various disorders in all dimensions are similar. The non-mean-field exponents asymptotically approach the mean-field value () with increase in dimensions. The results suggest that the critical features in the hysteretic metastable phase are controlled by inherent mean-field spinodal instability that gets blurred by disorder in low-dimension athermal systems.
10 pages, 7 figures
References in corpus (5)
- Homogeneous and heterogeneous nucleation of Lennard-Jones liquids
- Training-induced criticality in martensites
- Criticality of tuning in athermal phase transitions
- Critical Slowing Down at the Abrupt Mott Transition: When the First-Order Phase Transition Becomes Zeroth-Order and Looks Like Second-Order
- Heterogeneous Nucleation in the Low Barrier Regime
Cited by in corpus (5)
- Dynamic hysteresis at a noisy saddle-node shows power-law scaling but nonuniversal exponent
- Coercivity Landscape Characterizes Dynamic Hysteresis
- Switching dynamics and improved efficiency of free-standing antiferroelectric capacitors
- Finite-time and Finite-size scalings of coercivity in dynamic hysteresis
- Disorder-aided Early Warning Signals: Predicting Catastrophic Shifts in Athermal Systems