TY - DATA
T1 - Code for: Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces
PY - 2025/08/21
AU - Amir Mohseni Armaki
AU - Yaqi Guo
AU - Majid Ahmadi
AU - Roan Streefland
AU - Patrick S. Bäuerlein
AU - Arjan Mol
AU - Sid Kumar
AU - Peyman Taheri
UR - 
DO - 10.4121/086b2944-01bf-4f7c-ba34-f75d19e154d0.v1
KW - Electrochemical Impedance Spectroscopy (EIS)
KW - Real-Time Sensing
KW - Ion-specific Fingerprint
KW - Electrode/Electrolyte Interfaces
KW - water
KW - water quality monitoring
N2 - <p>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:</p><ul><li><strong>Fundamental impedance model</strong> – MATLAB implementation of the continuum-based model describing frequency-dependent physico-chemical processes at electrode/electrolyte interfaces.</li><li><strong>Machine learning workflow</strong> – Python scripts for data preprocessing, model training, cross-validation, and prediction of ion composition/concentration from EIS data.</li></ul><p><br></p>
ER -