Literature DB >> 19950506

Scaling relationship for oscillating electrochemical systems: dependence of phase diagram on electrode size and rotation rate.

István Z Kiss1, Zoltán Kazsu, Vilmos Gáspár.   

Abstract

Dynamics of oscillations in electrochemical systems are affected by both chemical and physical properties of the systems. Chemical properties include the type of electrochemical reaction, the electrode material, the composition of the electrolyte, etc., while physical properties include the solution resistance, the cell constant, the electrode size, the rotation rate, the external resistance, etc. Earlier, we proposed the application of cell-geometry-independent phase-diagrams to characterize the oscillatory regions in the electrode potential vs. external resistance parameter plane. In this report, we investigate how this type of phase diagram changes with the surface area (electrode radius) and the rotation rate of an electrode. Based on linear stability analysis of a general, two-variable model for negative-differential resistance (NDR) type electrochemical oscillators we propose a scaling relationship. It predicts that all scaled data points derived from the critical values of parameters (resistance and potential) characterizing the onset of oscillations should fall - independently of the size of the electrode and the rotation rate - on a single plot. The analytical predictions are tested in both numerical simulations and experiments with copper electrodissolution in phosphoric acid.

Entities:  

Year:  2009        PMID: 19950506     DOI: 10.1039/b905295j

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  4 in total

1.  Electrochemical Oscillations of Nickel Electrodissolution in an Epoxy-Based Microchip Flow Cell.

Authors:  Alexander G Cioffi; R Scott Martin; István Z Kiss
Journal:  J Electroanal Chem (Lausanne)       Date:  2011-08-01       Impact factor: 4.464

2.  The electro-oxidation of ethylene glycol on platinum over a wide pH range: oscillations and temperature effects.

Authors:  Elton Sitta; Raphael Nagao; Hamilton Varela
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

3.  Machine learning meets volcano plots: computational discovery of cross-coupling catalysts.

Authors:  Benjamin Meyer; Boodsarin Sawatlon; Stefan Heinen; O Anatole von Lilienfeld; Clémence Corminboeuf
Journal:  Chem Sci       Date:  2018-07-13       Impact factor: 9.825

4.  Experimental assessment of the sensitiveness of an electrochemical oscillator towards chemical perturbations.

Authors:  Graziela C A Ferreira; Bruno C Batista; Hamilton Varela
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

  4 in total

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