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Nanosystems: Physics, Chemistry, Mathematics, 2020, Volume 11, Issue 2, Pages 171–175
DOI: https://doi.org/10.17586/2220-8054-2020-11-2-171-175
(Mi nano511)
 

PHYSICS

Shannon entropy associated with electrochemically generated ion concentration gradients

N. V. Ryzhkov, V. Yu. Yurova, E. V. Skorb

ITMO University, Lomonosova, 9, St. Petersburg, 191002, Russia
Abstract: In this work, we discuss Shannon entropy in relation to ion distribution in solutions. Shannon entropy is a key concept of information theory. Discussion of ion solutions informational entropy is essential for consideration of ions as information carriers in iontronic devices. We studied entropy associated with ions redistribution using model electrochemically triggered local ion fluxes. For this purpose, we utilized bare gold electrodes as well as covered by polyelectrolyte layers and lipids. Modification of the electrode surface leads to a change of ion flux triggered by hydroquinone oxidation. Consequently, various distribution of ions in solution can be obtained. Shannon entropy was evaluated for diverse ion distributions.
Keywords: Shannon entropy, proton fluxes, layer by layer assemblies, electrochemistry.
Funding agency Grant number
Russian Science Foundation
ITMO
This work is supported by RSF Grant No. 17-79-20186. EVS also thanks the ITMO Fellowship Professorship Program for Infrastructural Support.
Received: 30.12.2019
Revised: 17.02.2020
Bibliographic databases:
Document Type: Article
PACS: 82.35.Rs, 82.39.Wj, 82.45.Fk, 82.60.Lf, 89.70.+c
Language: English
Citation: N. V. Ryzhkov, V. Yu. Yurova, E. V. Skorb, “Shannon entropy associated with electrochemically generated ion concentration gradients”, Nanosystems: Physics, Chemistry, Mathematics, 11:2 (2020), 171–175
Citation in format AMSBIB
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\by N.~V.~Ryzhkov, V.~Yu.~Yurova, E.~V.~Skorb
\paper Shannon entropy associated with electrochemically generated ion concentration gradients
\jour Nanosystems: Physics, Chemistry, Mathematics
\yr 2020
\vol 11
\issue 2
\pages 171--175
\mathnet{http://mi.mathnet.ru/nano511}
\crossref{https://doi.org/10.17586/2220-8054-2020-11-2-171-175}
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\elib{https://elibrary.ru/item.asp?id=42801142}
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