Numerical studies of the nearest-neighbour spin-ice model using the Wang-Landau Algorithm

FERREYRA, MARÍA VICTORIA; BORZI, RODOLFO; GRIGERA, SANTIAGO ANDRÉS

Trieste

Conferencia; Conference on Frustration, Disorder and Localization: Statics and Dynamics; 2015

The Abdus Salam International Centre for Theoretical Physics (ICTP)

We study the classical nearest-neighbour spin-ice model (nnSI) by means of Monte Carlo simulations, using the Wang-Landau algorithm (WLA). Despite its simplicity, the nnSI exhibits a remarkably rich behaviour and describes several of the salient features of the spin-ice materials. The Wang-Landau Algorithm is a variation of the Monte Carlo method, which allows us to obtain an estimate of the density of states (DOS) function G(E) of the system by performing a random walk in the configuration space in order to have a flat histogram of visits.Using WLA, we obtained the DOS function of the nnSI model, and by introducing an applied magnetic field in two different crystallographic directions ([111] and [100]), we explore the physics of the kagome-ice phase, the transition to full polarization, and the Three Dimensional Kasteleyn transition.