May 25, 2026 article Artificial intelligence and machine learning models for electrolyzers and fuel cells optimization: A review on empowering sustainable hydrogen economy Fuel DOI: 10.1016/j.fuel.2026.139795 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 2 References 4 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Solid oxide electrolysis cells – current material development and industrial application 2023 Journal of Materials Chemistry A article Materials Science Advancements in Solid Oxide Fuel Cells Open access 285 citations Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles 2023 Sustainability article Engineering Electric and Hybrid Vehicle Technologies Open access 134 citations Machine Learning-Based Control for Fuel Cell Hybrid Buses: From Average Load Power Prediction to Energy Management 2022 Vehicles article Engineering Electric and Hybrid Vehicle Technologies Open access 12 citations Leveraging the capabilities of physics-informed neural networks for channel optimization in PEM fuel cells 2026 Applied Energy article Physics and Astronomy Model Reduction and Neural Networks Open access 6 citations 4 results