Experiments on wetting on the scale of nanometers: Influence of the surface energy

Heslot, F.; Cazabat, A. M.; Levinson, Paul; Fraysse, Nathalie

doi:10.1103/physrevlett.65.599

Cited by 192 publications

(158 citation statements)

References 17 publications

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“…refers to higher order terms (which are neglected) and δ corresponds to the common definition of Tolman length (which estimates the extent of deviation of the surface tension of the particle from its planar value). While measurements provide adequate characterization of liquid-vapor interfaces, the relative nondeformability of the solid phases restricts measurements of solid-liquid and solidvapor surface tensions (Heslot et al 1990;Wu and Nancollas 1999) to those inferred from measurements of related surfacedriven phenomena (such as solubility and crystallization). Such measurements have severe experimental uncertainties (Harbury 1946;Hiemenz 1986;Prisciandaro et al 2001) and rely on theoretical models to infer the surface tension indirectly.…”

Section: Surface Tension Size Dependencementioning

confidence: 99%

“…As illustrated in Figure 1, a major source of this discrepancy is uncertainty in surface tension of the solid-liquid and solid-vapor interfaces. Russell and Ming (2002) estimated the surface tension from a range of existing indirect measurements (Heslot et al 1990;Prisciandaro et al 2001;Wu and Nancollas 1999). The surface tension is expected to be size dependent in the nanosize regime (Gibbs 1948;Koenig 1950;Tolman 1949).…”

Section: Introductionmentioning

confidence: 99%

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Effect of Surface Tension from MD Simulations on Size-Dependent Deliquescence of NaCl Nanoparticles

Bahadur

Russell

2008

Aerosol Science and Technology

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Section: Surface Tension Size Dependencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Surface Tension from MD Simulations on Size-Dependent Deliquescence of NaCl Nanoparticles

Bahadur

Russell

2008

Aerosol Science and Technology

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“…Experimental studies have shown that in some cases such precursor films have molecular thickness [13,14,15,16,17,18,19,20]. The spreading of such monolayers has been studied using a two-dimensional lattice gas Ising model [10,21,22] in which a half-space is occupied by a particle reservoir.…”

Section: Introductionmentioning

confidence: 99%

Spreading in narrow channels

et al. 2007

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We study a lattice model for the spreading of fluid films, which are a few molecular layers thick, in narrow channels with inert lateral walls. We focus on systems connected to two particle reservoirs at different chemical potentials, considering an attractive substrate potential at the bottom, confining side walls, and hard-core repulsive fluid-fluid interactions. Using kinetic Monte Carlo simulations we find a diffusive behavior. The corresponding diffusion coefficient depends on the density and is bounded from below by the free one-dimensional diffusion coefficient, valid for an inert bottom wall. These numerical results are rationalized within the corresponding continuum limit.

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“…This has been observed in experiments [1,2,3,4] as well as simulation [5,6,7,8,9]. This foot grows diffusively with an effective diffusion constant D eff that depends on the square root of the initial radius R o of the droplet [10].…”

Section: Introductionmentioning

confidence: 72%

Liquid Nanodroplets Spreading on Chemically Patterned Surfaces

2006

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Controlling the spatial distribution of liquid droplets on surfaces via surface energy patterning can be used to control material delivery to specified regions via selective liquid/solid wetting. While studies of the equilibrium shape of liquid droplets on heterogenous substrates exist, much less is known about the corresponding wetting kinetics. We make significant progress towards elucidating details of this topic by studying, via large-scale atomistic simulations, liquid nanodroplets spreading on chemically patterned surfaces. A model is presented for lines of polymer liquid (droplets) on substrates consisting of alternating strips of wetting (equilibrium contact angle θ 0 ≃ 0 • ) and nonwetting (θ 0 ≃ 90 • ) material. Droplet spreading is compared for different wavelength λ of the pattern and strength of surface interaction on the wetting strips. For small λ, droplets partially spread on both the wetting and non-wetting regions of the substrate to attain a finite contact angle less than 90 • . In this case, the extent of spreading depends on the interaction strength in the wetting regions. A transition is observed such that, for large λ, the droplet spreads only on the wetting region of the substrate by pulling material from non-wetting regions. In most cases, a precursor film spreads on the wetting portion of the substrate at a rate strongly dependent upon interaction strength.

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Experiments on wetting on the scale of nanometers: Influence of the surface energy

Cited by 192 publications

References 17 publications

Effect of Surface Tension from MD Simulations on Size-Dependent Deliquescence of NaCl Nanoparticles

Effect of Surface Tension from MD Simulations on Size-Dependent Deliquescence of NaCl Nanoparticles

Spreading in narrow channels

Liquid Nanodroplets Spreading on Chemically Patterned Surfaces

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