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Citation: Yan Zhang, Limin Zhou, Xiaoyan Cao, Mutai Bao. Exploring the Application of Artificial Intelligence in Marine-Themed Integrated Physical Chemistry Experiments[J]. University Chemistry, ;2025, 40(9): 118-125. doi: 10.12461/PKU.DXHX202503062 shu

Exploring the Application of Artificial Intelligence in Marine-Themed Integrated Physical Chemistry Experiments

College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, Shandong Province, China

Corresponding author: Mutai Bao, mtbao@mail.ouc.edu.cn
Received Date: 18 March 2024
Accepted Date: 3 June 2025

This study investigates innovative approaches to AI-enhanced experimental teaching within the context of marine-themed integrated physical chemistry experiments. The research demonstrates the effective utilization of knowledge graphs for systematic learning and interdisciplinary knowledge integration. By incorporating DeepSeek and Python-based open-source models, the study significantly enhances intelligent data processing capabilities, thereby promoting the advancement of smart experimental teaching methodologies.
- Physical chemistry experiments,
- Artificial intelligence,
- Marine-themed,
- Knowledge graph,
- DeepSeek,
- Python
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