Optimization and prediction of power density in proton exchange membrane fuel cells for green energy using advanced machine learning models: a comparative study

Ionics 2026

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Authors: Kamil Kayode Katibi, Arun Kumar Shukla, Ibrahim Garba Shitu, Khalid M. Alotaibi, Ahamad Imran, Mubarak Olumide Mojoyinola, Abdul Azeez Olayiwola Sirajudeen
DOI: 10.1007/s11581-025-06923-9
Cited by: 9
References: 58

Fields of Study & Subjects

Fuel Cells and Related Materials Electric and Hybrid Vehicle Technologies Hybrid Renewable Energy Systems

Publication details

Journal / source
Ionics
Publisher
Springer Science and Business Media LLC
Volume
32
Issue
3
Pages
3123–3144
Publication date
15 January 2026
Language
EN