2009
DOI: 10.1016/j.snb.2009.02.028
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Experimental and numerical characterization of an electrode-matrix cell for electrochemical measurements

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Cited by 7 publications
(7 citation statements)
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“…For each triangular patch, we approximate the unknowns (Φ m , Φ s ) by interpolating the nodal values with linear shape functions. The BEM discretization procedure is detailed elsewhere …”
Section: Numerical Modelmentioning
confidence: 99%
“…For each triangular patch, we approximate the unknowns (Φ m , Φ s ) by interpolating the nodal values with linear shape functions. The BEM discretization procedure is detailed elsewhere …”
Section: Numerical Modelmentioning
confidence: 99%
“…A possibility is to insert the bipoles representing double layer effects in series with the solution resistance, as proposed in [40,42]. In comparison to the equivalent electric circuit based on the simple parallel of R S and C G , this model enables also the estimation of the low cut-off frequency f low , which results inversely proportional to the product of the solution resistance and the global double layer capacitance.…”
Section: Modelling Of Electrode Polarisationmentioning
confidence: 99%
“…• analytical models obtained for simple cell geometries and accounting for the accumulation of ions at the electrodes by means of the Stern model [57]; • coupled models, based on the numerical or analytical determination of electrolyte resistance and electrode capacitance and on the successive inclusion of the double layer capacitance according to the Gouy-Chapman-Stern model [40,42]; • analytical or numerical models, which incorporate the contributions of polarisation and finite ion size following modified Poisson-Boltzmann theories [19,56,[58][59][60].…”
Section: Modelling Of Electrode Polarisationmentioning
confidence: 99%
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“…An example is represented by the low frequency behavior of the electrical impedance of electrochemical cells and their transient response, which are strongly influenced by the presence of the ion‐exclusion layer. [ 24–26 ]…”
Section: Introductionmentioning
confidence: 99%