# Two-size probability-changing cluster algorithm
> Surungan T.

URL kanonis: https://discover.unhas.ac.id/publications/two-size-probability-changing-cluster-algorithm
Jurnal / Konferensi: Journal of Physics A Mathematical and Theoretical
Tahun terbit: 2020
DOI: https://doi.org/10.1088/1751-8121/abc72c
ISSN: 17518113
Kuartil SJR: Q2
Citations: 0

## Authors
- Surungan T.

## Abstract
Abstract We propose a self-adapted Monte Carlo approach to automatically determine the critical temperature by simulating two systems with different sizes at the same temperature. The temperature is increased or decreased by checking the short-time average of the correlation ratios of the two system sizes. The critical temperature is achieved using the negative feedback mechanism, which can be regarded as an Ehrenfest model for diffusion with a central force . Moreover, the thermal average near the critical temperature can be calculated precisely. The proposed approach is a general method to treat second-order phase transition, first-order phase transition, and Berezinskii–Kosterlitz–Thouless transition on the equal footing.

## Keywords
- Monte Carlo method
- Algorithm
- Cluster (spacecraft)
- Statistical physics
- Mathematics
- Phase (matter)
- Phase transition
- Computer science
- Thermal
- Applied mathematics
- Critical point (mathematics)
- Cluster expansion
- Correlation
- Physics
- Monte Carlo algorithm
- Temperature measurement

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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