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Bibliographic Details
Main Authors: Willnecker, Brandon, Moodley, Mervlyn
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2406.13296
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author Willnecker, Brandon
Moodley, Mervlyn
author_facet Willnecker, Brandon
Moodley, Mervlyn
contents The classical XY model has been consistently studied since it was introduced more than six decades ago. Of particular interest has been the two-dimensional spin model's exhibition of the Berezinskii-Kosterlitz-Thouless (BKT) transition. This topological phenomenon describes the transition from bound vortex-antivortex pairs at low temperatures to unpaired or isolated vortices and anti-vortices above some critical temperature. In this work we propose a novel machine learning based method to determine the emergence of this phase transition. An autoencoder was used to map states of the XY model into a lower dimensional latent space. Samples were taken from this latent space to determine the thermal average of the vortex density which was then used to determine the critical temperature of the phase transition.
format Preprint
id arxiv_https___arxiv_org_abs_2406_13296
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Critical temperature of the classical XY model via autoencoder latent space sampling
Willnecker, Brandon
Moodley, Mervlyn
Computational Physics
Statistical Mechanics
The classical XY model has been consistently studied since it was introduced more than six decades ago. Of particular interest has been the two-dimensional spin model's exhibition of the Berezinskii-Kosterlitz-Thouless (BKT) transition. This topological phenomenon describes the transition from bound vortex-antivortex pairs at low temperatures to unpaired or isolated vortices and anti-vortices above some critical temperature. In this work we propose a novel machine learning based method to determine the emergence of this phase transition. An autoencoder was used to map states of the XY model into a lower dimensional latent space. Samples were taken from this latent space to determine the thermal average of the vortex density which was then used to determine the critical temperature of the phase transition.
title Critical temperature of the classical XY model via autoencoder latent space sampling
topic Computational Physics
Statistical Mechanics
url https://arxiv.org/abs/2406.13296