A microkinetic-informed learning framework for predictive modeling of catalytic dry reforming with limited experimental data

Chemical Engineering Science 2026

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Authors: Amirmohammad Ebrahimi, Amirsalar Bagheri, Thiago O. Cabral, Joshua O. Ighalo, Placidus B. Amama, Davood B. Pourkargar

DOI: 10.1016/j.ces.2026.124062

Cited by: 1

References: 36

Fields of Study & Subjects

Catalysts for Methane Reforming Machine Learning in Materials Science CO2 Reduction Techniques and Catalysts

References 36