Build a web-based, scientific, open, automated EIS analyze platform. Related paper: https://www.sciencedirect.com/science/article/abs/pii/S0013468622005126. A video report in chinese is recored in https://www.bilibili.com/video/BV1db4y1v7wY.

Prof. Ying Jin

Prof. Peng Shi

Zhaoyang Zhao Email: [email protected], Researchgate: https://www.researchgate.net/profile/Zhaoyang-Zhao-2; Zhaoyang is about to get his Ph.D. and looking for a postdoctral position related with elctrochemical, machine learning, atomic force spectroscopy. If you are interested in this work, cooperation is always possible.

Lianheng Zou

Hui Zhi [email protected]; Peng Liu. Yang Zou

For the first time, an EIS outlier definition consisting of three qualitative conditions was proposed, which was then taken as a foundation and combined with the improved linear Kramers-Kronig validation, smoothing algorithm, quartiles, and a few sensitive residuals to build an automated workflow to automatically detect and remove outliers. Related Code is: aia_eis/v0/aia_eis_v0/a_d Related Published Work: https://www.sciencedirect.com/science/article/pii/S0013468623008393

An Interpretable Adaboost model (a kind of machine learning algoriithm) predicts an equivalent circuit model (ECM) for a given EIS Related Code is: aia_eis/v0/aia_eis_v0/ml_sl Related Published Work: https://www.sciencedirect.com/science/article/abs/pii/S0013468622005126

Global optimization algorithm is applied to fit the parameters of the ECM. Related Code is: aia_eis/v0/aia_eis_v0/goa Related Published Work: https://www.sciencedirect.com/science/article/abs/pii/S0013468622005126

If you adopt the dataset or code in a scientific work, please cite related papers.

Still in construction. The web platform is based on Flask MVC Framework and will be online around 2024.01.

This project is licensed under the terms of the MIT license.