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Interface Approach to Phase Transitions and Ordering by Monte Carlo Simulations and Its Applications to Three-Dimensional Antiferromagnetic Potts Models
45
Citations
25
References
1989
Year
Phase TransitionsQuantum Lattice SystemEngineeringSpin SystemsEstimated ExponentsComputational ChemistryMolecular DynamicsNumerical SimulationQuantum MaterialsThermodynamicsQuantum MatterMonte Carlo SimulationsMaterials SciencePhysicsOrdered StateCondensed Matter TheoryQuantum MagnetismSpintronicsNatural SciencesMonte Carlo MethodApplied PhysicsCondensed Matter PhysicsDisordered Quantum SystemInterface ApproachCritical Phenomenon
We develop an interface approach to bulk phase transitions and ordered states by using Monte Garlo simulations, and apply it to antiferromagnetic q -state Potts models with q =3∼6 on the simple cubic lattice. A stiffness exponent a defined by Δ F ∼ L a , where Δ F is the interface free energy for a system of size L , is introduced as a measure of the stiffness of the ordered phase against an external stress. Applying finite-size scaling to Δ F and to the squared order parameter enable one to determine each of T c , ν, β and γ in order where T c is the critical temperature and the others are critical exponents. This approach also provides a means to study properties of the ordered state through a and interface profiles. In the q =3 and 4 models the estimated exponents ν, β, γ and a indicate new universality classes. The q =5 model shows a phase transition, while the q =6 model does not. The q =3∼5 models have non-integer values of a at low temperatures. The phase transitions in these models are confirmed to be due to entropy gains.
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