EXPERIMENTAL VALIDATION OF INTERPRETABLE MACHINE LEARNING PREDICTIONS FOR CH4 AND CO2 CONVERSIONS AND H2/CO RATIOS IN DRY REFORMING OF METHANE CATALYSTS

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Subhan Azeem,Nadeem Hassan,Muhammad Ashraf
DOI: 10.5281/zenodo.18767204
Cited by: 0

Fields of Study & Subjects

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

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 February 2026
Language
EN