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• W2803433254 abstract "Surprisingly long-ranged intermolecular correlations begin to appear in isotropic (orientationally disordered) phases of liquid crystal forming molecules when the temperature or density starts to close in on the boundary with the nematic (ordered) phase. Indeed, the presence of slowly relaxing, strongly orientationally correlated, sets of molecules under putatively disordered conditions (“pseudo-nematic domains”) has been apparent for some time from light-scattering and optical-Kerr experiments. Still, a fully microscopic characterization of these domains has been lacking. We illustrate in this paper how pseudo-nematic domains can be studied in even relatively small computer simulations by looking for order-parameter tensor fluctuations much larger than one would expect from random matrix theory. To develop this idea, we show that random matrix theory offers an exact description of how the probability distribution for liquid-crystal order parameter tensors converges to its macroscopic-system limit. We then illustrate how domain properties can be inferred from finite-size-induced deviations from these random matrix predictions. A straightforward generalization of time-independent random matrix theory also allows us to prove that the analogous random matrix predictions for the time dependence of the order-parameter tensor are similarly exact in the macroscopic limit, and that relaxation behavior of the domains can be seen in the breakdown of the finite-size scaling required by that random-matrix theory." @default.
• W2803433254 created "2018-06-01" @default.
• W2803433254 creator A5026994436 @default.
• W2803433254 creator A5037416067 @default.
• W2803433254 date "2018-05-22" @default.
• W2803433254 modified "2023-10-16" @default.
• W2803433254 title "Measuring order in disordered systems and disorder in ordered systems: Random matrix theory for isotropic and nematic liquid crystals and its perspective on pseudo-nematic domains" @default.
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• W2803433254 doi "https://doi.org/10.1063/1.5024678" @default.
• W2803433254 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29865812" @default.
• W2803433254 hasPublicationYear "2018" @default.
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