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Citation: Lei Qin, Kai Guo. Application of Generative Artificial Intelligence in the Simulation of Acid-Base Titration Images[J]. University Chemistry, ;2025, 40(9): 11-18. doi: 10.12461/PKU.DXHX202408123 shu

Application of Generative Artificial Intelligence in the Simulation of Acid-Base Titration Images

Lei Qin ^1,, ,
Kai Guo ²

1.
Tianjin Academy of Educational Sciences, Tianjin 300191, China;
2.
Tianjin No. 45 High School, Tianjin 300193, China

Corresponding author: Lei Qin, chemqinlei2023@163.com
Received Date: 28 August 2024
Accepted Date: 4 November 2024

This study explores the innovative application of generative artificial intelligence (AI) in the simulation of acid-base titration images. Through hands-on experimentation, we employed generative AI techniques to develop code for dynamic acid-base titration images, establishing a “code generation and optimization for experimental images” paradigm. This approach is tightly aligned with the practical needs of educational settings, aiming to offer cutting-edge technological support for chemistry educators in experimental teaching. It also aims to create intelligent, interactive learning environments to enhance students’ understanding of chemistry.
- Artificial intelligence,
- Chemical experiment,
- Code development,
- Dynamic image
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