University Chemistry ›› 2025, Vol. 40 ›› Issue (9): 34-42.doi: 10.12461/PKU.DXHX202412002

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Curriculum Development for Cheminformatics and AI-Driven Chemistry Theory toward an Intelligent Era

Weigang Zhu1,2, Jianfeng Wang1, Qiang Qi1, Jing Li3, Zhicheng Zhang1,2, Xi Yu1,2   

  1. 1 Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Key Laboratory of Organic Integrated Circuits, Ministry of Education, State Key Laboratory of Advanced Materials for Intelligent Sensing, Department of Chemistry, School of Science, Tianjin University, Tianjin 300072, China;
    2 National Demonstration Center for Chemistry and Chemical Engineering Education, Department of Chemistry, School of Science, Tianjin University, Tianjin 300354, China;
    3 School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
  • Received:2024-12-02 Accepted:2025-02-19 Published:2025-09-16
  • Contact: Weigang Zhu, Xi Yu E-mail:w_zhu10@tju.edu.cn;xi.yu@tju.edu.cn

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Abstract: In recent years, the integration of artificial intelligence (AI) technology and chemistry education has given rise to a new track for the development of professional chemistry education in higher education institutions. How to transform chemistry teaching content, innovate teaching methods, and promote curriculum construction has become one of the key focuses. This article introduces the overview of the course construction of “Chemical Informatics and AI Chemistry” at Tianjin University, discusses the necessity of carrying out the project construction of artificial intelligence chemistry course, summarizes the teaching objectives, knowledge areas and teaching content, characteristic innovations and operational effects of the course, and puts forward shortcomings and future improvement plans, hoping to provide reference for teaching peers in related fields.

Key words: Machine learning, Artificial intelligence, Chemistry teaching, Cheminformatics, Interdisciplinary teaching