Artificial Intelligence (AI) is revolutionizing chemical reaction engineering by enabling deeper insights into reaction kinetics, computational fluid dynamics (CFD), and reactor design. In response to the growing need for smarter, more efficient, and scalable reaction processes, this special issue in Smart Chemical Engineering (SCE) invites pioneering contributions that highlight the integration of AI in understanding, modeling, and optimizing chemical reactions as well as multiphase reactors.

We welcome original research articles, reviews, and perspective papers that explore the application of machine learning and all other AI techniques to advance reaction engineering. Contributions may address AI-accelerated modeling of reaction kinetics, AI-enhanced CFD simulations, intelligent reactor design and control, as well as AI-assisted scale-up and optimization of reaction processes.

Topics of interest include, but are not limited to:

• Machine learning and AI methodology for reaction kinetic modeling
• AI-enhanced CFD for multiphase and reactive flows
• Machine learning in reactor design, optimization, and control
• Intelligent scale-up and digital twins of chemical reactors
• Intelligent monitoring and fault detection

Keywords: artificial Intelligence; reaction engineering; reaction kinetics; computational fluid dynamics (CFD); machine learning; reactor design; process optimization

Prof. Mao Ye
Affiliation: Dalian Institute of Chemical Physics, Chinese Academy of Sciences
Homepage: https://people.ucas.ac.cn/~maoye?language=en