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arxiv: cond-mat/0509573 · v1 · pith:5NSKQFFXnew · submitted 2005-09-22 · ❄️ cond-mat.stat-mech

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

classification ❄️ cond-mat.stat-mech
keywords interactionsmodelaccuratecriticalestimatesexponentsfirst-orderising
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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.

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