Unsurprisingly, for the distant 2 × ZARC model with 𝑅 ct,1 < 𝑅 ct,2 and 𝑅 ct,1 > 𝑅 ct,2 whose parameter values are reported in Table , the LC method under-recovered the DRT, and re-im CV and kf-CV recovered the DRT with significant uncertainty, see Figures and Table for 𝑅 ct,1 > 𝑅 ct,2 . We further studied the influence of 𝜎 𝑛 exp for the overlapping, separated, and distant (𝑅 ct,1 > 𝑅 ct,2 ) 2×ZARC models, and we observed that the selected 𝜆 values for all the methods were closer to the optimal value 𝜆 opt , but slightly affected by higher 𝜎 𝑛 exp (Tables ). The GCV and mGCV methods consistently outperformed all the parameter regularization methods, even when the EIS data was corrupted with noise (21) in Section 2.2 (Figures S26-S37