Performance of Wang-Landau algorithm in lattice model of liquid crystals
Suman Sinha
TL;DR
This paper evaluates the Wang-Landau algorithm's efficiency in a continuous lattice model of liquid crystals, introducing a new spin update method that enhances convergence speed and reduces autocorrelation.
Contribution
It proposes a novel spin update scheme for continuous lattice models, improving the Wang-Landau algorithm's performance in liquid crystal simulations.
Findings
Reduced autocorrelation time in simulations
Faster convergence of the Wang-Landau algorithm
Enhanced efficiency in modeling liquid crystals
Abstract
We present a study on the performance of Wang-Landau algorithm in a lattice model of liquid crystals which is a continuous lattice spin model. We propose a novel method of the spin update scheme in a continuous lattice spin model. The proposed scheme reduces the autocorrelation time of the simulation and results in faster convergence.
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