2013
DOI: 10.1103/physreve.88.022122
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Renormalization group calculations for wetting transitions of infinite order and continuously varying order: Local interface Hamiltonian approach

Abstract: We study the effect of thermal fluctuations on the wetting phase transitions of infinite order and of continuously varying order, recently discovered within a mean-field density-functional model for three-phase equilibria in systems with short-range forces and a two-component order parameter. Using linear functional renormalization group calculations within a local interface Hamiltonian approach, we show that the infinite-order transitions are robust. The exponential singularity (implying 2-α(s)=∞) of the surf… Show more

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Cited by 4 publications
(4 citation statements)
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“…We may add here that there are many ways to define a film thickness, all of which should lead to the same physics in equilibrium, provided the definitions and computational implementations are mathematically sound. An example of two types of criteria used for defining within one and the same physical density-functional model for a two-component order parameter may be found in [64,65].…”
Section: A Definitionmentioning
confidence: 99%
“…We may add here that there are many ways to define a film thickness, all of which should lead to the same physics in equilibrium, provided the definitions and computational implementations are mathematically sound. An example of two types of criteria used for defining within one and the same physical density-functional model for a two-component order parameter may be found in [64,65].…”
Section: A Definitionmentioning
confidence: 99%
“…To account for the latter, an effective potential can be derived by tracing out small wavelength fluctuations [19,20]. This renormalized potential is then expressed as a convolution of the bare potential with the fluctuation probability distribution function [21]. The very same idea is applied in this work in order to obtain an effective probe-interface potential.…”
mentioning
confidence: 99%
“…The renormalized potential is thus obtained as a convolution of the original potential with the probability distribution of height fluctuations [21]. The point is that V (r, h) now includes information regarding the roughness of the fluctuating interface.…”
mentioning
confidence: 99%
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