Monte Carlo studies of the square Ising model with next-nearest-neighbor interactions

TL;DR

This study uses a new entropic method to analyze the critical behavior of the square Ising model with next-nearest-neighbor interactions, challenging previous predictions of a first-order transition and providing detailed critical exponents.

Contribution

It introduces an entropic scheme for studying phase transitions in the Ising model with next-nearest interactions and offers new insights into the nature of the transition at R=1.

Findings

No evidence of a first-order transition at R=1.

Critical exponents obey weak universality.

Accurate finite-size scaling analysis presented.

Abstract

We apply a new entropic scheme to study the critical behavior of the square-lattice Ising model with nearest- and next-nearest-neighbor antiferromagnetic interactions. Estimates of the present scheme are compared with those of the Metropolis algorithm. We consider interactions in the range where superantiferromagnetic (SAF) order appears at low temperatures. A recent prediction of a first-order transition along a certain range (0.5-1.2) of the interaction ratio $(R=J_{nnn}/J_{nn})$ is examined by generating accurate data for large lattices at a particular value of the ratio $(R=1)$. Our study does not support a first-order transition and a convincing finite-size scaling analysis of the model is presented, yielding accurate estimates for all critical exponents for R=1 . The magnetic exponents are found to obey ``weak universality'' in accordance with a previous conjecture.