Electrochemical impedance spectroscopy
We use impedance spectra to investigate electrochemical processes across characteristic time scales and connect spectral features with physically meaningful models.
A Quantum Orientational Ensemble for Understanding the Point of Charge at the Pt(111)/Pure-Water Interface
This paper examines the Pt(111)/pure-water interface using a quantum orientational ensemble framework.
B.-Y. Chang, C. H. Hendon · J. Electrochem. Sci. Technol. 2026 · DOI: 10.33961/jecst.2026.00339
Read the paper ↗Time-Resolved Electrochemical Impedance Spectroscopy of Stochastic Nanoparticle Collision: Short Time Fourier Transform versus Continuous Wavelet Transform
Short-time Fourier transform and continuous wavelet transform EIS are applied to stochastic Pt nanoparticle collisions at a gold ultramicroelectrode. The impedance response provides charge-transfer information at the single-particle level, while wavelet analysis improves the time resolution of collision detection.
L. D. Ha, K. J. Kim, S. J. Kwon, B.-Y. Chang, S. Hwang · Small 2023, 19, 2302158 · DOI: 10.1002/smll.202302158
Read the paper ↗Electrochemical Impedance Spectroscopy
This review surveys advances in EIS methods and applications, including faster acquisition using multisine and white-noise Fourier approaches, time-resolved impedance measurements, impedance imaging, and applications across electrochemical and biosensing systems.
B.-Y. Chang, S.-M. Park · Annu. Rev. Anal. Chem. 2010, 3, 207–229 · DOI: 10.1146/annurev.anchem.012809.102211
Read the paper ↗Determination of Equivalent Circuits for Electrochemical Impedance Spectra Using Convolutional Neural Networks
Convolutional neural networks identify characteristic shapes in Nyquist plots for equivalent-circuit classification. Transfer learning supports adaptation to new data, and the approach maintains greater than 80% classification accuracy on spectra generated with randomized circuit parameters before experimental validation with pyrrole electropolymerization.
L. D. Ha et al. · npj Comput. Mater. 2026 · DOI: 10.1038/s41524-026-02225-4
Read the paper ↗
A Novel Analysis Method for Electrochemical Impedance Spectra Using Deep Learning
An autoencoder is used to analyze potential-dependent EIS datasets. The spectra are compressed into two-dimensional latent vectors that retain information associated with charge transfer, mass transfer, and double-layer charging, while the decoder also produces quality-enhanced spectra.
B.-Y. Chang · Electrochim. Acta 2023, 462, 142741 · DOI: 10.1016/j.electacta.2023.142741
Read the paper ↗
