Electrochemical impedance spectroscopy (EIS) is a non-invasive characterization technique widely utilized in fields as diverse as energy science , medicine , and biology . It is particularly valued for its ability to probe a broad frequency range, from mHz to MHz, and ease of implementation with contemporary workstations . Despite is appeal, interpreting EIS data remains challenging . Usually, equivalent circuits are employed to analyze EIS spectra . However, multiple circuits can fit the data equally well, and, as a result, some of the developed circuits may not have a physical significance . Conversely, while physical models are grounded in principles of physics and chemistry, they are often specific to particular systems, limiting their general applicability . Furthermore, these physical models are typically more challenging to set up and solve . Over the past two decades, the distribution of relaxation times (DRT) model has emerged as a promising alternative to complement and even replace the above-mentioned methods. The DRT approach models EIS spectra as originating from relaxations . This implies that the impedance modeled by the DRT, 𝑍 DRT (𝑓), is given by 𝑍 DRT (𝑓) = 𝑖2𝜋𝑓𝐿 0 + 𝑅 ∞ + ∫ 𝛾 DRT (log 𝜏)