Electrochemical impedance spectroscopy (EIS) is commonly used to analyze electrochemical systems , including sensors , supercapacitors , batteries and fuel cells . Despite the tremendous usefulness of this technique, obtaining meaningful insights from EIS data is difficult. Equivalent circuit models (ECMs) are usually used to analyze EIS data , but ECMs are not unique as several circuits can fit EIS data equally well . Physical models can provide more insight than ECMs . However, physical models are system-specific and difficult to implement. EIS analysis can also be carried out using the distribution of relaxation times (DRT) . The DRT framework assumes that EIS spectra result from relaxations, implying that the impedance can be modeled as 𝑍 DRT (𝑓) = 2𝑖𝜋𝑓𝐿 0 + 𝑅 ∞ + ∫ 𝛾(log 𝜏)