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paper_data_LossFunctions

Overview

This repository contains the code, data, and scripts used in the publication:

Assessment of different loss functions for fitting equivalent circuit models to electrochemical impedance spectroscopy data

Authors: Ali Jaberi, Amin Sadeghi, Runze Zhang, Zhaoyang Zhao, Qiuyu Shi, Robert Black, Zoya Sadighi, Jason Hattrick-Simpers

Journal: Computational Materials Science DOI: https://doi.org/10.1016/j.commatsci.2026.114625

The goal of this repository is to ensure full reproducibility of the results reported in the paper, including model fitting, evaluation, and figure generation.

📊 Data Availability

All datasets used in this study are Generated synthetically which can be found in data/ directory.

📜 Citation

If you use this code or data, please cite the corresponding paper:

@article{ title = {Assessment of different loss functions for fitting equivalent circuit models to electrochemical impedance spectroscopy data}, author = {Ali Jaberi, et. al.}, journal = {Computational Materials Science}, year = {2026}, doi = {https://doi.org/10.1016/j.commatsci.2026.114625} }

Comparison of log-B and X2 loss functions on synthetic EIS data

Structure

The source codes used to fit the ECMs to the EIS are located at src/ dirctory. The results after the fitting is located at restults/ dirctory with the code to vusualize the results.

Requirements

Python ≥ 3.9. Required packages are listed in requirements.txt.

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