Online Lectures
电催化剂失活过程的原位研究策略 (06/02/2025 科研云讲座) View Lecture on Bilibili
Lab Systems (Members Only)
To book instruments, please go to Instrument booking system.
To access the experimental raw data and shared files, please go to NAS data and file system.
Software
Python(Free)
Used for data processing and plotting, electrochemical system simulation, and hardware control.
- We mainly use NumPy, Pandas, and SciPy packages for data analysis; Matplotlib and Seaborn packages for data plotting.
- Coding should be done in JupyterLab for better sharing and reading. We suggest JupyterLab Desktop.
- Read this article to know why we use Python, not OriginLab or Excel.
- Dr. Weiran Zheng delivered an ECS Webinar on “Introducing Python for electrochemistry research”. You can view the recording here.
- For introductory tutorials, we suggest:
- Scientific Computing for Chemists with Python by Charles J. Weiss
- Python for Data Analysis from MolSSI
Blender(Free)
Software for 3D modeling, animation, rendering, and visual effects.
Fiji (ImageJ)(Free)
An open-source image processing program designed for scientific image analysis, particularly popular in life sciences (e.g., for electron microscopy images).
VESTA(Free)
A 3D visualization program for crystal structures, volumetric data such as electron/nuclear densities, and crystal morphologies.
Gwyddion(Free)
A modular program for scanning probe microscopy (SPM) data visualization and analysis (e.g., AFM, MFM, STM, SNOM/NSOM).
General Electrochemical Resources
For basic principles of electrochemistry, you can refer to:
For a deeper understanding of the electrochemical methods we are using, you can refer to:
- Gamry application notes
- Pine research notes
- The electrochemistry Bible: Electrochemical Methods: Fundamentals and Applications by Allen J. Bard et al.