Universal Susceptibility Variations in 1+1 Dimensional Vortex Glass

TL;DR

This paper introduces a new simulation algorithm for modeling fluxline arrays in vortex glasses, enabling finite temperature studies and confirming analytic predictions through susceptibility variation analysis.

Contribution

A novel algorithm is developed to efficiently simulate vortex glass models at finite temperatures, overcoming previous computational limitations.

Findings

Numerical results support analytic susceptibility predictions.

The new algorithm effectively handles slow glassy dynamics.

Simulations provide insights into vortex glass behavior.

Abstract

We model a planar array of fluxlines as a discrete solid-on-solid model with quenched disorder. Simulations at finite temperatures are made possible by a new algorithm which circumvents the slow glassy dynamics encountered by traditional Metropolis Monte Carlo algorithms. Numerical results on magnetic susceptibility variations support analytic predictions.