Topic
Conductance
About: Conductance is a research topic. Over the lifetime, 8088 publications have been published within this topic receiving 235961 citations.
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TL;DR: These data provide the first evidence of AQP6 channel gating at a single-channel level and suggest that each monomer contains the pore region for ions based on the number of Hg2+-binding sites and the kinetics of H g2-activation of the channel.
98 citations
TL;DR: It is shown that the effects of lipid charge titration on channel conductance are masked 1) by conductance saturation with Cs+ ions in the neutral pH range and 2) by increased proton concentration when the bathing solution pH is less than 3.0.
98 citations
TL;DR: The results suggest that designs combining metal with single graphene layers provide the best thermal properties, and that both cases show a strong performance dependence on the number of graphene layers between metal phases.
Abstract: Graphene has excellent mechanical, electrical and thermal properties. Recently, graphene-metal composites have been proposed as a means to combine the properties of metals with those of graphene, leading to mechanically, electrically and thermally functional materials. The understanding of metal-graphene nanocomposites is of critical importance in developing next-generation electrical, thermal and energy devices, but we currently lack a fundamental understanding of how their geometry and composition control their thermal properties. Here we report a series of atomistic simulations, aimed at assessing the geometry and temperature effects of the thermal interface conductance for copper- and nickel-graphene nanocomposites. We find that copper-graphene and nickel-graphene nanocomposites have similar thermal interface conductances, but that both cases show a strong performance dependence on the number of graphene layers between metal phases. Single-graphene-layer nanocomposites have the highest thermal interface conductance, approaching ~500 MW m(-2) K(-1). The thermal interface conductance reduces to half this value in metal-bilayer graphene nanocomposites, and for more than three layers of graphene the thermal interface conductances further reduces to ~100 MW m(-2) K(-1) and becomes independent with respect to the number of layers of graphene. This dependence is attributed to the relatively stronger bonding between the metal and graphene layer, and relatively weaker bonding between graphene layers. Our results suggest that designs combining metal with single graphene layers provide the best thermal properties.
98 citations
TL;DR: The values obtained from the noise analysis of the kinetics of channel formation and the conductance of the single channel agreed closely with the values determined by relaxation measurments and single-channel experiments.
Abstract: If a membrane contains ion-conducting channels which form and disappear in a random fashion, an electric current which is passed through the membrane under constant voltage shows statistical fluctuations. Information on the kinetics of channel formation and on the conductance of the single channel may be obtained by analyzing the electrical noise generated in a membrane containing a great number of channels. For this purpose the autocorrelation function of the current noise is measured at different concentrations of the channel-forming substance. As a test system for the application of this technique we have used lipid bilayer membranes doped with gramicidin A. From the correlation time of the current noise generated by the membrane, the rate constants of formation (kR) and dissociation (kD) of the channels could be determined. In addition, the mean square of the current fluctuations yielded the single-channel conductance Λ. The values ofkR,kD, and Λ obtained from the noise analysis agreed closely with the values determined by relaxation measurments and single-channel experiments.
98 citations
TL;DR: In this article, the authors compared the theoretical results for strontium chloride-doped potassium chloride, in which the charge carriers are cation vacancies, with the experimental results for a more sophisticated model, showing that the theory predicts the correct order of magnitude for both the capacitance and conductance, and also approximately the correct temperature and frequency dependence.
98 citations