Modeling, prediction, and optimization of steam methane reforming in porous foams using computational fluid dynamics and machine learning approaches

International Journal of Hydrogen Energy 2026

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Authors: Azadeh Jafarizadeh, MohammadAli Ahmadzadeh, Masoud Panjepour, Mohsen Davazdah Emami

DOI: 10.1016/j.ijhydene.2026.155272

Cited by: 1

References: 56

Fields of Study & Subjects

Heat and Mass Transfer in Porous Media Catalysts for Methane Reforming Enhanced Oil Recovery Techniques

References 56