大学化学 >> 2025, Vol. 40 >> Issue (12): 112-118.doi: 10.12461/PKU.DXHX202511035

教学研究与改革 上一篇    下一篇

人工智能革命——重塑化学化工前沿研究与教育的新范式

胡涛1, 李先锋2, 陶胜洋1, 李琳3, 赵冠鸿2, 张锦威2, 孟长功4   

  1. 1 大连理工大学化学学院, 辽宁 大连 116024;
    2 中国科学院大连化学物理研究所, 辽宁 大连 116023;
    3 大连理工大学化工学院, 辽宁 大连 116024;
    4 大连大学环境与化学工程学院, 辽宁 大连 116622
  • 收稿日期:2025-11-05 录用日期:2025-11-26 发布日期:2025-12-27
  • 通讯作者: 孟长功 E-mail:cgmeng@dlut.edu.cn Changgong Meng
  • 基金资助:
    2025年海军工程大学教学科研项目(NUE2025ER05)；2023年海军工程大学精品课程建设项目；2024年海军级精品课程立项建设项目

Artificial Intelligence Revolution: Reshaping the New Paradigm of Frontier Research and Education in Chemistry and Chemical Engineering

Tao Hu1, Xianfeng Li2, Shengyang Tao1, Lin Li3, Guan-Hong Zhao2, Jinwei Zhang2, Changgong Meng4   

  1. 1 School of Chemistry, Dalian University of Technology, Dalian 116024, Liaoning Province, China;
    2 Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, Liaoning Province, China;
    3 School of Chemical Engineering, Dalian University of Technology, Dalian 116024, Liaoning Province, China;
    4 School of Environmental and Chemical Engineering, Dalian University, Dalian 116622, Liaoning Province, China
  • Received:2025-11-05 Accepted:2025-11-26 Published:2025-12-27
  • Contact: Changgong Meng E-mail:cgmeng@dlut.edu.cn

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摘要： 人工智能(AI)技术的迅猛发展，正以前所未有的广度和深度渗透到科学研究的各个领域。化学作为一门承上启下、连接基础与应用的中心科学，正处于这场范式变革的中心。本文旨在系统阐述人工智能对化学化工学科前沿发展与高等本科教育带来的革命性影响。文章将分别从AI在化学化工科学研究前沿(如智能分子设计、智能合成等)中的颠覆性应用、在智能化工专业本科生培养中的作用以及在化学学科教育模式的革新三个维度进行深入探讨，并对未来发展趋势与潜在挑战提出展望。

关键词: AI驱动, 化学化工, 前沿研究, 本科教育

Abstract: Artificial intelligence (AI) is rapidly transforming scientific research with unprecedented speed and scale. Chemistry, as a central science bridging fundamental principles and practical applications, is at the core of this transformation. This paper reviews how AI is reshaping frontier research in chemistry and chemical engineering, including intelligent molecular design and autonomous synthesis. It also discusses the role of AI in training undergraduate students in intelligent chemical engineering and examines how AI is driving innovations in chemistry education. Finally, we outline future trends and highlight the challenges that the field may face.

Key words: AI-driven, Chemistry and chemical engineering, Frontier research, Undergraduate education