Dr. May Ali Musallam, Director of Quality Assurance and Performance Evaluation Division, Department of Chemical Engineering, University of Technology, has published a scientific research in the Journal of Cleaner with Impact Factor (6.39) Production entitled:

Scavenging carbon deposition on alumina supported cobalt catalyst during renewable hydrogen-rich syngas production by methane dry reforming using artificial intelligence modeling technique

Elimination of carbon deposits on cobalt - backed alumina catalyst

Production of renewable hydrogen gas by redeveloping and improving dry methane using AI modeling technology.

In this study, the researcher explained how to use a mathematical model to predict and predict

To the extent of the catalyst supported by alumina during the process of dissolution of methane to hydrogen and the deposition of a quantity of carbon on the surface and the proportions affecting the process of sedimentation.