2019
DOI: 10.1088/1361-648x/ab0394
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Fluctuations and phase transitions of uniaxial and biaxial liquid crystals using a theoretically informed Monte Carlo and a Landau free energy density

Abstract: In this work, we explore fluctuations during phase transitions of uniaxial and biaxial liquid crystals using a phenomenological free energy functional. We rely on a continuum-level description of the liquid crystal ordering with a tensorial parameter and a temperature dependent Landau polynomial expansion of the tensor’s invariants. The free energy functional, over a three-dimensional periodic domain, is integrated with a Gaussian quadrature and minimized with a theoretically informed Monte Carlo method. We re… Show more

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Cited by 2 publications
(2 citation statements)
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“…Minimization of the free energy functional was performed through a simulated annealing technique, as described in previous publications. [49][50][51] This involved sampling the free energy landscape by proposing changes to the tensor order parameter Q, and accepting them according to a Metropolis criteria. The sequence of accepted trial moves formed a Markov chain of configurations, with the probability of acceptance given by Calculating ΔF required the discretization of the system and a numerical integration technique.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Minimization of the free energy functional was performed through a simulated annealing technique, as described in previous publications. [49][50][51] This involved sampling the free energy landscape by proposing changes to the tensor order parameter Q, and accepting them according to a Metropolis criteria. The sequence of accepted trial moves formed a Markov chain of configurations, with the probability of acceptance given by Calculating ΔF required the discretization of the system and a numerical integration technique.…”
Section: Methodsmentioning
confidence: 99%
“…[46][47][48] Minimization of each free energy functional was performed using a simulated annealing technique, as described in previous publications. [49][50][51] The simulations were initialized using either a random configuration, the ansatz for BPs, twisted cylinder (TC), or the RSS configuration. We present the results using a reduced temperature, defined as is T* = (T − T NI )/T NI , where T is temperature, T NI is the clearing point temperature, and dimensionless nanodroplet size N = 4R/p 0 , which represents how many π-turns the director can make along the diameter of the nanodroplet.…”
Section: Simulations Of Phase Diagrams and Structures Of Chiral Lc Na...mentioning
confidence: 99%