After having established the superior performance of the entropy method in recovering DRTs from synthetic data, particularly in terms of accuracy and artifact suppression (Section 3.1), we demonstrated the feasibility of sampling DRTs obtained with entropy regularization, hence enabling uncertainty quantification. We also recovered the DRT simultaneously from multiple spectra, which is essential for batch processing of real data. We stress however that these conclusions were drawn using artificial and idealized impedance data, which does not always fully mimic experimental data. In this section, we therefore leverage the insights gained from multidimensional DRT analysis (Section 3.1.3) to analyze experimental impedance data acquired from diverse electrochemical systems: two distinct lithium-ion batteries, a protonic ceramic fuel cell, and a perovskite solar cell.