Multi-objective optimization and reactor design/simulation of propylene high-temperature chlorination process utilizing the TS-EMO machine learning algorithm

Chemical Engineering Science 2026

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Authors: Ming Li, Jing Li, Hao Chen, Yuhang He, Guang Liu, Luchang Han, He’an Luo

DOI: 10.1016/j.ces.2026.123363

Cited by: 2

References: 17

Fields of Study & Subjects

Catalysis and Oxidation Reactions Catalysts for Methane Reforming Process Optimization and Integration

References 17