# Two-Dimensional Seven-State Potts Model Under External Magnetic Field

## TL;DR

This paper investigates the phase transition behavior of the two-dimensional seven-state Potts model under an external magnetic field using a cluster algorithm, focusing on cluster size distributions and fluctuations.

## Contribution

It introduces a cluster algorithm approach to analyze the phase transition order in the 2D seven-state Potts model under external field.

## Key findings

- Cluster size distribution reveals transition characteristics.
- Fluctuations in average cluster size indicate transition order.
- Method provides insights into phase transition nature.

## Abstract

The two-dimensional Potts Model with seven states under external field is studied using a cluster algorithm. Cluster size distribution and the fluctuations in the average cluster size provide helpful information on the order of phase transitions.