2018
DOI: 10.1038/s41467-018-06364-1
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Charging dynamics of an individual nanopore

Abstract: Meso-porous electrodes (pore width « 1 µm) are a central component in electrochemical energy storage devices and related technologies, based on the capacitive nature of electric double-layers at their surfaces. This requires that such charging, limited by ion transport within the pores, is attained over the device operation time. Here we measure directly electric double layer charging within individual nano-slits, formed between gold and mica surfaces in a surface force balance, by monitoring transient surface… Show more

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Cited by 53 publications
(66 citation statements)
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“…Measurement of the surface force in response to a suddenly applied voltage has been performed by Tivony et al [20] in a similar surface force balance. They investigate the charging dynamics of a dilute electrolyte in the case of very narrow electrode separation, mimicking charging in nanopores.…”
Section: Comparison To Experimentsmentioning
confidence: 99%
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“…Measurement of the surface force in response to a suddenly applied voltage has been performed by Tivony et al [20] in a similar surface force balance. They investigate the charging dynamics of a dilute electrolyte in the case of very narrow electrode separation, mimicking charging in nanopores.…”
Section: Comparison To Experimentsmentioning
confidence: 99%
“…They attribute the increased time scale to ion migration from the reservoir outside the thin gap between the two charged surfaces in their apparatus. This transport process, therefore, involves ionic fluxes that are not solely normal to the electrode surfaces and is represented as a transmission line model in [20]. We consider a closed, one-dimensional system, where there is no transport of ions beyond the gap between the electrodes.…”
Section: Comparison To Experimentsmentioning
confidence: 99%
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“…Considering all of the known mechanisms at the same time is not possible, especially in experimental [15][16][17][18] and analytical 11 studies. Because of that, there are different methods invented and used for EDLS simulations such as Molecular dynamics (MD) [19][20][21][22] , Monte-Carlo 23,24 , lattice model 7 , density functional theory (DFT) 13,25 , mixed DFT with MD and post-HartreeFock calculation 6 , and machine-learning [26][27][28] .…”
mentioning
confidence: 99%