A.S. Bandarenka. Development of hybrid algorithms for EIS data fitting // Lecture Notes on Impedance Spectroscopy 4 (2013) 29-36
Deeper understanding of complex objects of Nature is not achievable without informative but at the same time affordable research tools. Among the well-recognizable techniques in material science, impedance spectroscopy is one of the “least demanding” from the measurement point of view in-situ methods. However, unlike many other spectroscopies, where for instance the position, shape, height or width of the characteristic features of the spectra unambiguously give analytical information, impedance spectra have often to be analyzed using complex physical modelling and subsequent fitting of the data to the model. EIS Data Analysis 1.3 was designed to facilitate this task as much as possible, and process arrays of impedance spectra: from just few spectra to hundreds and thousands of them with the fitting performed in a semi-automatic mode.