Synthesizing Electrically Equivalent Circuits for Use in Electrochemical Impedance Spectroscopy through Grammatical Evolution

Electrochemical impedance spectroscopy (EIS) is an important electrochemical technique that used to detect changes and ongoing processes in a given material. The main challenge of EIS interpreting the collected measurements, which can be performed several ways. This article focuses on electrical equivalent circuit (EEC) approach uses grammatical evolution automatically construct EEC produces AC response corresponds one obtained by measured process(es). For fitting purposes, synthetic measurements data from realistic environment were used. In order able faithfully fit new element (ZARC) had implemented integrated into SPICE simulator, was for evaluating EECs. Not only presented (i.e., with almost no user input) produce more than satisfactory each datasets, but it also generate completely configurations. These configurations may help researchers find some new, previously overlooked processes.