AutoEchemAnalyzer

AutoEchemAnalyzer is a Python-based desktop application built with PySide6, designed for efficient processing and analysis of electrochemical measurement data.

It provides:

• Batch data processing
• Automatic extraction of key electrochemical metrics
• Interactive visualization
• Custom labeling and plotting
• GUI-based workflow (no coding required)

This tool is particularly suitable for electrocatalysis research, including systems such as ORR, HER, and OER.

Installation

Development Environment

• Python 3.12
• Validated on Windows OS
• Use conda env create -f autoea.yml to create the enviornment.

Setup

To set up the codes, run the following commands:

git clone https://github.com/ai4cat/AI4C-AutoEA.git
cd AI4C-AutoEA

Repository Structure

code/
└── src/              
config/
data/

Contributing

Contributions are welcome! Please follow the standard fork-and-pull request workflow on GitHub.

If you use our code in your research, please cite our paper:

@article{,
  title={s},
  author={},
  journal={},
  year={},
  volume = {},
  pages = {}
}

License

This project is licensed under the CC-BY-ND-NC License. Please see the LICENSE file for more details.