AI-Enabled Catalytic Engineering: From Catalyst Design to Process Optimization

Smart Chemical Engineering (SCE) is announcing a Call for Papers for the topic “AI-Enabled Catalytic Engineering: From Catalyst Design to Process Optimization”. Catalysis plays an important role in energy conversion, advanced materials manufacturing, and health-related applications, while also presenting major challenges associated with complex reaction networks, multiscale process coupling, and precise regulation. Recent advances in artificial intelligence (AI), particularly in high-dimensional data mining, complex relationship modeling, and optimization-driven decision-making, are reshaping catalyst design, mechanistic understanding, and process optimization. In this context, Smart Chemical Engineering (SCE) is pleased to announce a Call for Papers and invites submissions of high-quality contributions that highlight methodological advances and emerging applications of AI in catalytic engineering. We welcome original research articles, reviews, and perspective papers addressing theoretical developments, methodological innovation, and practical applications of AI in catalyst design, mechanistic analysis, and related process engineering. Topics of interest include, but are not limited to: AI-driven catalyst design, screening, and optimization AI-assisted mechanistic understanding and analysis of complex catalytic reaction networks AI-driven research in computational catalysis Integration of multimodal characterization and AI for catalytic spectral analysis and mechanistic studies AI-driven multi-objective optimization, process regulation, and engineering applications of catalytic systems Keywords: Artificial Intelligence, Catalytic Engineering, Catalyst Design, Mechanistic Analysis, Process Regulation Academic Editors Prof. Yuanhui Ji Affiliation: School of Chemistry and Chemical Engineering, Southeast University Prof. Jiahua Zhu Affiliation: College of Chemical Engineering, Nanjing Tech University Prof. Xiaonan Wang Affiliation: Department of Chemical Engineering, Tsinghua University Submission Details: Submission Deadline: 30 November 2026 Office Contact: sce@sciltp.com Instruction for Authors: https://www.sciltp.com/journals/sce/instructionForAuthors Submission Link: https://sciflux.org/authors/submissions/add-submissions?journalCode=1909189275485560833