Large-scale Monte Carlo simulations for the depinning transition in Ising-type lattice models

TL;DR

This paper introduces an efficient extended Monte Carlo algorithm to study the depinning transition in Ising-type lattice models, providing precise critical parameters and revealing a new universality class in the strong-disorder regime.

Contribution

The paper develops a novel extended Monte Carlo algorithm and applies it to large-scale simulations, accurately determining critical exponents and identifying a new universality class.

Findings

The EMC algorithm outperforms traditional Monte Carlo methods in efficiency.

Precise critical exponents for the depinning transition are obtained.

A new universality class with distinct exponents is identified in the strong-disorder regime.

Abstract

With the developed "extended Monte Calro" (EMC) algorithm, we have studied the depinning transition in Ising-type lattice models by extensive numerical simulations, taking the random-field Ising model with a driving field and the driven bond-diluted Ising model as examples. In comparison with the usual Monte Carlo method, the EMC algorithm exhibits greater efficiency of the simulations. Based on the short-time dynamic scaling form, both the transition field and critical exponents of the depinning transition are determined accurately via the large-scale simulations with the lattice size up to L = 8 912, significantly refining the results in earlier literature. In the strong-disorder regime, a new universality class of the Ising-type lattice model is unveiled with the exponents {\beta} = 0.304(5), {\nu} = 1.32(3), z = 1.12(1), and {\zeta} = 0.90(1), quite different from that of the quenched Edwards-Wilkinson equation.