PreprintCC BY 4.0arXiv
The Blume-Capel Model as a ϕ6 Field Theory: A Monte Carlo and Flow Model Study
Abstract
We report Monte Carlo simulations of a continuous spin variant of the Blume-Capel model. We compute the phase diagrams in the crystal-field-temperature plane, as a function of the softness of the spins. We show that normalizing flows, a class of generative models capable of direct sampling without autocorrelation, are effective samplers across the phase diagram, including in the first-order transition region and in the vicinity of the tricritical point. Finite-size scaling analyses of flow samples locate the first- and second-order transitions as well as the tricritical point with accuracy comparable to canonical and extended-ensemble Monte Carlo.
Related
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BibTeX
@misc{merali2026blumecapel,
title = {{The Blume-Capel Model as a $ϕ^6$ Field Theory: A Monte Carlo and Flow Model Study}},
author = {Ejaaz Merali and Ryan Larson and Ehsan Khatami and Richard T. Scalettar},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.20982},
eprint = {2610.20982},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.20982},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - The Blume-Capel Model as a ϕ^6 Field Theory: A Monte Carlo and Flow Model Study
AU - Ejaaz Merali
AU - Ryan Larson
AU - Ehsan Khatami
AU - Richard T. Scalettar
PY - 2026
DA - 2026/10/14
PB - arXiv
DO - 10.48550/arxiv.2610.20982
UR - https://arxiv.org/abs/2610.20982
AB - We report Monte Carlo simulations of a continuous spin variant of the Blume-Capel model. We compute the phase diagrams in the crystal-field-temperature plane, as a function of the softness of the spins. We show that normalizing flows, a class of generative models capable of direct sampling without autocorrelation, are effective samplers across the phase diagram, including in the first-order transition region and in the vicinity of the tricritical point. Finite-size scaling analyses of flow samples locate the first- and second-order transitions as well as the tricritical point with accuracy comparable to canonical and extended-ensemble Monte Carlo.
ER -