2014
DOI: 10.1039/c4ra07034h
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Asymmetric transport of water molecules through a hydrophobic conical channel

Abstract: Unlike macroscale systems, symmetry breaking could lead to surprising results for nanoscale systems.

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Cited by 16 publications
(15 citation statements)
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References 46 publications
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“…[27] Known carbon-carbon and carbon-water interaction parameters were used. [1][2][3][4][5][6][7][8] The particle-mesh Ewald method was used to treat the long-range electrostatic interactions. [28] Periodic conditions were applied in all directions.…”
Section: Model and Simulation Methodsmentioning
confidence: 99%
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“…[27] Known carbon-carbon and carbon-water interaction parameters were used. [1][2][3][4][5][6][7][8] The particle-mesh Ewald method was used to treat the long-range electrostatic interactions. [28] Periodic conditions were applied in all directions.…”
Section: Model and Simulation Methodsmentioning
confidence: 99%
“…Thus, filling of CNTs with water is favorable from free energy aspects. Up to now, it is recognized that there are many factors affecting the water transport, such as electric fields, pressures, channel shapes . Nonetheless, to the best of our knowledge, the effect of some basic physical parameters on the water transport is still poorly understood, such as the temperature.…”
Section: Introductionmentioning
confidence: 99%
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“…PMFs should not be confused with 'effective' free-energy profiles, which have also been used to characterize the dynamics of transport across graphene-based membranes [87][88][89] and which calculate an energy map from a single MD simulation using the average occupation density: E = − k B T log(P), where k B is Boltzmann's constant and P is the average occupancy of the species at the given location. Effective free-energy profiles also provide some information about the relative rejections of different NPG membranes, but their relevance is limited by the fact that a single simulation may not allow for adequate sampling of the system phase-space.…”
Section: Salt Rejectionmentioning
confidence: 99%