Dresden 2020 – scientific programme

The DPG Spring Meeting in Dresden had to be cancelled! Read more ...

Parts | Days | Selection | Search | Updates | Downloads | Help

DY: Fachverband Dynamik und Statistische Physik

DY 56: Poster: Glasses; Granular Matter; Brownian Motion and Anomalous Diffusion

DY 56.5: Poster

Thursday, March 19, 2020, 15:00–18:00, P1A

Interpreting impedance spectroscopy data by using Poisson-Nernst-Planck anomalous models — Ervin K. Lenzi¹, Luiz R. Evangelista², Leila Taghizadeh³, Daniel Pasterk³, Rafael S. Zola⁴, Trifce Sandev^5,6,7, Clemens Heitzinger³, and •Irina Petreska⁷ — ¹Universidade Estadual de Ponta Grossa — ²Universidade Estadual de Maringá — ³Technische Universität Wien — ⁴Universidade Tecnológica Federal do Paraná — ⁵Macedonian Academy of Sciences and Arts — ⁶University of Potsdam — ⁷Ss. Cyril and Methodius University in Skopje

The information obtained from impedance spectroscopy of electrolytic cells enables comprehension of the complex diffusion phenomena in liquid/solid interfaces. In this context, we consider two implementations of the Poisson-Nernst-Planck (PNP) anomalous models of the electrical response of electrolytic cells, one built in the frameworks of the fractional calculus and the other one being an extension of the standard PNP model presented by Barsoukov and Macdonald. Both extensions may be related to an anomalous diffusion with subdiffusive characteristics through the electrical conductivity and are able to describe the experimental data. Bayesian inversion is also applied to extract the parameter of interest in the analytical formulas of impedance, using the delayed-rejection adaptive-Metropolis algorithm (DRAM) in the context of Markov-chain Monte Carlo (MCMC) algorithms to find the posterior distributions and confidence intervals.

[1] E. K. Lenzi et al., J. Phys. Chem. B 123, 7885 (2019).