NELM: Modern Open-Source Software for Multipurpose Impedance Spectra Analysis

TL;DR

NELM is a modern, open-source software package for impedance spectra analysis that integrates advanced computational techniques, supporting diverse data formats and applications across science and industry.

Contribution

Introduces NELM, a free, open-source EIS analysis tool utilizing modern computing advances like symbolic calculations and AI, addressing limitations of existing software.

Findings

Validated in semiconductor, bioimpedance, and electrochemistry applications.

Demonstrated high efficiency and versatility of NELM.

Showed potential for advancing EIS analysis in various technological fields.

Abstract

Nowadays electrical impedance spectroscopy (EIS) has become an advanced experimental technique with a wide range of applications: from simple passive circuits diagnostics to semiconductor high-end device development and breakthrough technologies in bio-sensing. Although hardware for EIS today is well developed, the EIS analysis software is mainly custom, old fashioned, i.e. it is limited by features, does not utilize the progress in the modern computer science and hardware, and is usually implemented in close-source code or written on outdated programming languages, which causes slow progress in field of the EIS and complicates researchers attempts of development in EIS autonomous devices, such as implants. In this article, we introduce a free and open-sourced MatLab/GNU Octave package for EIS analysis called NELM, which provides powerful equipment tools for matching experimental impedance data with theoretical equivalent circuits. Our software has an user friendly interface and supports different formats of input data, fitting programs, and impedance models. In addition, we have developed NELM with implementation of the latest progress in computation science such as symbolic calculations, parallel computing, and artificial intelligence. The abilities of NELM were validated by its applications in the different fields of science, such as semiconductor studies, bioimpedance and electrochemestry, which demonstrated high-efficiency of the proposed software package and showed that it is a promising tool for solving actual problems in electronic industry, biosensorics, and healthcare technologies.