2006
DOI: 10.1021/jp056685c
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Structures and Properties of Newton Black Films Characterized Using Molecular Dynamics Simulations

Abstract: We used molecular dynamics (MD) simulations to investigate the structures and properties of Newton black films (NBF) for several surfactants: sodium dodecyl sulfate (SDS), cetyltrimethylammonium bromide (C16TAB), and surfactin using film thicknesses up to 10 nm. By calculating the interface formation energy for various packing conditions on the surface pressure-area isotherm, we found that the most probable surface concentration is ∼42 Å 2 /molecule for SDS and C16TAB and ∼170 Å 2 /molecule for surfactin. We t… Show more

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Cited by 110 publications
(94 citation statements)
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“…The Kirkwood-Buff (KB) molecular modeling approach [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] is fully atomistic. It utilizes Kirkwood-Buff relation between σ and diagonal components of the pressure tensor [23].…”
Section: Introductionmentioning
confidence: 99%
“…The Kirkwood-Buff (KB) molecular modeling approach [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] is fully atomistic. It utilizes Kirkwood-Buff relation between σ and diagonal components of the pressure tensor [23].…”
Section: Introductionmentioning
confidence: 99%
“…It was also successful in our studies on various other molecular systems, such as the hydrated polymer electrolyte membranes [57,58,59] and the surfactant-mediated air-water interface [60,61].…”
Section: Force Field and MD Parametersmentioning
confidence: 80%
“…It has been reported [15] that, by using MD simulations, electrostatic energy could be obtained based on electrostatic potential profile, by taking into account the uniform characteristic of water. The electrostatic contribution of disjoining pressure [16,17] can thus be derived, and its value is in similar order of magnitude to that of the VDW component from experimental evaluation. Certain quantities and liquid film properties [18][19][20][21] can be readily observed or calculated using computational simulations.…”
Section: Introductionmentioning
confidence: 93%