2004
DOI: 10.1103/physrevb.70.235407
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Monte Carlo intrinsic surfaces and density profiles for liquid surfaces

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Cited by 85 publications
(86 citation statements)
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“…That number of particles per unit area is transformed in a local film thickness assuming that the surface z = ξ GS (R) separates a uniform density of the liquid phase from a uniform density of the vapor phase. Therefore, the q = 0 Fourier components are directly given from the position of the particles [11], aŝ…”
Section: Appendix: Model Methods and Gibbs Surface Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…That number of particles per unit area is transformed in a local film thickness assuming that the surface z = ξ GS (R) separates a uniform density of the liquid phase from a uniform density of the vapor phase. Therefore, the q = 0 Fourier components are directly given from the position of the particles [11], aŝ…”
Section: Appendix: Model Methods and Gibbs Surface Resultsmentioning
confidence: 99%
“…Their theoretical description [4] is based on effective Hamiltonians H[ξ ], modeled as functionals of ξ (R), following the capillary wave theory (CWT) for free liquid surfaces [5][6][7][8] or from simple density-functional models [9]. In this paper we present a fully quantitative description of H[ξ ] for a realistic model: a Lennard-Jones fluid adsorbed on a planar wall, analyzed with the intrinsic sampling method (ISM) for the shape of a fluctuating fluid interface [10,11]. Our results provide a proof of principle for the method to bridge the gap between computer simulations at molecular scale and the mesoscopic behavior of these systems with quantitative accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…These algorithms eliminate the averaging effect of thermal fluctuations. 30,31 This approach, and similar ones, [32][33][34] have been applied to a number of fluid interfaces; simple fluids, 35 water, 36,37 alkali fluids, 38 oil-water interfaces, 32, 39-41 hydrophilic interfaces, 42 and molten salts. 43 The intrinsic profile offers a higher level of resolution of the interface, and, unlike the mean profiles, it is independent of the interfacial cross sectional area used in the simulations.…”
Section: Introductionmentioning
confidence: 99%
“…[41][42][43] Over the last decade, there have been important advances in the characterization of ξ (R) and its fluctuations, which can be done through the analysis of independent molecular configurations. [44][45][46][47][48][49][50][51][52] In this paper, we take advantage of these advances to quantify the fluctuation modes of biological membranes.…”
Section: A Instantaneous Shape ξ (R) Of the Membranementioning
confidence: 99%