The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/086b2944-01bf-4f7c-ba34-f75d19e154d0

Mohseni Armaki, Amir; Guo, Yaqi; Ahmadi, Majid; Streefland, Roan; Bäuerlein, Patrick S. et. al. (2025): Code for: Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/086b2944-01bf-4f7c-ba34-f75d19e154d0.v1

Categories

• Physical Chemistry (incl. Structural)
• Chemical Sciences

Keywords

Electrochemical Impedance Spectroscopy (EIS) Electrode/Electrolyte Interfaces Ion-specific Fingerprint Real-Time Sensing water water quality monitoring

Licence

MIT

Interoperability

• RO-Crate Metadata

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by Amir Mohseni Armaki , Yaqi Guo, Majid Ahmadi , Roan Streefland, Patrick S. Bäuerlein , Arjan Mol , Sid Kumar, Peyman Taheri

This repository contains all MATLAB and Python codes developed for the studyIon Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces, including:

• Fundamental impedance model – MATLAB implementation of the continuum-based model describing frequency-dependent physico-chemical processes at electrode/electrolyte interfaces.
• Machine learning workflow – Python scripts for data preprocessing, model training, cross-validation, and prediction of ion composition/concentration from EIS data.

History

• 2025-08-21 first online, published, posted

Publisher

4TU.ResearchData

Format

script/.py, MATLAB/.m, MATLAB dataset/.mat

Data link

https://doi.org/10.4121/fd5d845a-70aa-452f-b662-e72e1e057f34

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Materials Science and Engineering