Trials of a Novel Approach for the Analysis of Impedance Spectroscopy

Our approach for analyzing impedance spectroscopy results is based on seeking a distribution function of relaxation times (DFT). The a-priori knowledge that we use is to assume the Debye kernel for dielectric systems, and to assume that the DFT is a combination of known mathematical peaks. Our new analysis method is based on an evolutionary programming technique, Genetic Programming (GP), which is inspired by biological evolution. GP is used in order to identify the best DFT describing the behavior of real systems. To create the best model, selection of mathematical peaks such as Gaussian, Lorentzian etc. is used. Analysis of barium titanate is demonstrated and discussed                                                                                                                                                            The Publisher’s Site | Request a copy of this paper