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Cited by 199

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Comprehensive study of noise processes in electrode electrolyte interfaces

Hassibi, Arjang, Navid, Reza, Dutton, Robert W., Lee, Thomas H.·2004·Journal of Applied Physics

Abstract

A general circuit model is derived for the electrical noise of electrode–electrolyte systems, with emphasis on its implications for electrochemical sensors. The noise power spectral densities associated with all noise sources introduced in the model are also analytically calculated. Current and voltage fluctuations in typical electrode–electrolyte systems are demonstrated to originate from either thermal equilibrium noise created by conductors, or nonequilibrium excess noise caused by charge transfer processes produced by electrochemical interactions. The power spectral density of the thermal equilibrium noise is predicted using the fluctuation-dissipation theorem of thermodynamics, while the excess noise is assessed in view of charge transfer kinetics, along with mass transfer processes in the electrode proximity. The presented noise model not only explains previously reported noise spectral densities such as thermal noise in sensing electrodes, shot noise in electrochemical batteries, and 1/f noise in corrosive interfaces, it also provides design-oriented insight into the fabrication of low-noise micro- and nanoelectrochemical sensors.

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Crossref · 10.1063/1.1755429

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Metadata

Authors
Hassibi, A., Navid, R., Dutton, R. W., & Lee, T. H.
Venue
Journal of Applied Physics
Published
2004-07-15
Volume
96
Issue
2
Pages
1074-1082
ISSN
  • 0021-8979 (ISSN-L)
  • 1089-7550
OpenAlex
W2093262630
Cited by
199
References
3
FWCI
2.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Comprehensive study of noise processes in electrode electrolyte interfaces. https://app.cochat.ai/papers/10.1063/1.1755429
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Hassibi, A., Navid, R., Dutton, R. W., & Lee, T. H. (2004). Comprehensive study of noise processes in electrode electrolyte interfaces. Journal of Applied Physics. https://doi.org/10.1063/1.1755429

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.