Algorithm for Processing Broadband Dielectric Spectroscopy Data of Heterogeneous Materials
Abstract
This work focuses on the development of computational technologies for processing dielectric measurement data, particularly those from broadband dielectric spectroscopy. A novel approach is formulated and tested for software implementation, enabling the selection of parameter sets for known dispersion models used in analyzing complex dielectric spectra of heterogeneous materials.
The proposed algorithm divides the wide frequency range of measurements into shorter sub-ranges corresponding to distinct observed dispersion regions. These regions are identified using one (or several) known phenomenological relaxation models via least squares methods, deconvolution, and others.
Testing the algorithm on the frequency-dependent complex dielectric permittivity of varistor ceramic materials demonstrated satisfactory accuracy and physical consistency of the results. These findings highlight the efficiency and promise of this approach.

