Experimental analysis and optimization of hydrogen pre-cooling liquefaction process with composite catalyst through a hybrid priority cluster modeling approach

Experimental analysis and optimization of hydrogen pre-cooling liquefaction process with composite catalyst through a hybrid priority cluster modeling approach

Abstract The analysis studies impact of nanocomposites (NCs) to improve thermal efficiency in hydrogen liquefaction while decreasing energy consumption. The study uses an innovative combination of experimental investigations coupled with machine learning methods to identify superior nanocomposites f...

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Bibliographic Details
Main Authors: Faisal Khan, Osama Khan, Praveen Pachauri, Mohd Parvez, Aiyeshah Alhodaib, Zeinebou Yahya, Haidar Howari, M. Javed Idrisi, Worku Tenna
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Hydrogen
Energy efficiency
Power consumption
Machine learning clustering
Nanocomposites
Online Access:https://doi.org/10.1038/s41598-025-16832-6
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https://doi.org/10.1038/s41598-025-16832-6

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