by combining its different components Λ X , where X is a placeholder for the different contributions: a uniform penalty term to ensure smoothness of the result, a zerocrossing penalty to prevent unnecessary oscillations, and a boundary penalty to avoid non-physical outliers or runaway effects at the low-and high-frequency edge of the distribution. For DRT calculation of EIS data, the use of a second derivative operator has been suggested as a suitable choice for Λ. A variation of this approach had been demonstrated using an inverse weighting of the individual components with the curvature of the distribution g, effectively leading to a uniform penalty (UP) . Thereby the goal is to perform smoothing of the DRT that is uniform in regions with non-negligible spectral density, in order to represent sharp as well as broad features in g as faithfully as possible. The commonly employed non-negativity constraint on the DRT is avoided and replaced with a zero-crossing penalty to prevent unnecessary oscillations of the distribution while allowing for inductive contributions that appear with a negative sign when a DRT is calculated using the Debye kernel . Not suppressing justified negative contributions removes a source of systematic error in the transformation and ensures that the respective information is retained during the DRT step. Eventually, Λ is adjusted iteratively until convergence is achieved or a maximum number of iterations is reached.