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Citation: Ying Yang, Yonghan Wu, Zixuan Li, Lu Zhang, Rongqin Lin, Yefan Zhang, Jiquan Liu, Xiaohui Ning, Yan Li, Bin Cui. Visualization Simulation Experiment of Cyclic Voltammetry (CV) Based on Python[J]. University Chemistry, ;2025, 40(10): 233-242. doi: 10.12461/PKU.DXHX202412024 shu

Visualization Simulation Experiment of Cyclic Voltammetry (CV) Based on Python

National Demonstration Center for Experimental Chemistry Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710127, China

Received Date: 2 December 2024
Revised Date: 23 January 2025

Cyclic voltammetry (CV) stands as a pivotal electrochemical technique for investigating redox reactions. Traditional CV teaching experiments often lack in-depth exploration of the physicochemical processes underlying CV curves, leading to students' limited comprehension of electrochemical kinetics during CV characterization. To address this pedagogical gap, we developed a digital simulation program using Python to visualize both CV curves and the dynamic concentration changes of electroactive species at the electrode surface. This computational approach not only minimizes material consumption and enhances experimental efficiency but also transforms complex electrochemical data into accessible visual representations through dynamic visualization. The digital simulation experiment serves as a valuable complement to traditional methods, enhancing instructional interactivity and student engagement while fostering greater interest and curiosity in electrochemical studies.
- Electrochemistry,
- Simulation,
- Cyclic voltammetry,
- Visualization,
- Python,
- Kinetics
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