We are pleased to introduce the DRTtools, a free MATLAB toolbox for computing distribution relaxation times (DRT) from impedance spectroscopy (IS) data.

What is the DRTtoolsWhy would I want it?

DRTtools is a MATLAB toolbox which analyzes IS data via DRT. DRTtools features:

  • an intuitive GUI for computing DRT based on Tikhonov regularization
  • a wide variety of options for optimizing the estimation of DRT

If you are interested, you'll find a detailed explanation of the toolbox's capabilities it in the user's guide, and in the references below.

Distribution and Release Information

DRTtools is freely available under the MIT license from this site.

System Requirements

To install and run the DRTtools, you need:

  • MATLAB 7.12 or above
  • Optimization toolbox of MATLAB

The DRTtools toolbox was tested and implemented on a Windows-based machine. 

Detailed installation instructions are available in the DRT toolbox user's guide (also included with the standard distribution).

How to cite this work?

[1] T.H. Wan, M. Saccoccio, C. Chen, F. Ciucci, Influence of the Discretization Methods on the Distribution of Relaxation Times Deconvolution: Implementing Radial Basis Functions with DRTtools, Electrochimica Acta, 184 (2015) 483-499.

If you are computing the credibility interval of the DRT, you should cite the following reference also:

[2] M.B. Effat, F. Ciucci, Bayesian and Hierarchical Bayesian Based Regularization for Deconvolving the Distribution of Relaxation Times from Electrochemical Impedance Spectroscopy Data, Electrochimica Acta, 247 (2017) 1117-1129.

[3] F. Ciucci, C. Chen, Analysis of Electrochemical Impedance Spectroscopy Data Using the Distribution of Relaxation Times: A Bayesian and Hierarchical Bayesian Approach, Electrochimica Acta, 167 (2015) 439-454.

If you are using the Hilbert Transform function, you should also cite the following paper:

[4] J. Liu, T.H. Wan, F. Ciucci, A Bayesian View on the Hilbert Transform and the Kramers-Kronig Transform of Electrochemical Impedance Data: Probabilistic Estimates and Quality Scores, Electrochimica Acta, 357 (2020) 136864.

Link: https://doi.org/10.1016/j.electacta.2020.136864

How to get support?