September 04, 2022 article Open access A Data‐Driven framework for prediction the cyclic voltammetry and polarization curves of polymer electrolyte fuel cells using artificial neural networks International Journal of Energy Research DOI: 10.1002/er.8624 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 4 References 3 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 Deep learning for the automation of particle analysis in catalyst layers for polymer electrolyte fuel cells 2021 Nanoscale article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques 39 citations A Data-Driven Framework for the Accelerated Discovery of CO2 Reduction Electrocatalysts 2021 Frontiers in Energy Research article Energy CO2 Reduction Techniques and Catalysts Open access 21 citations Convolutional neural networks for high throughput screening of catalyst layer inks for polymer electrolyte fuel cells 2021 RSC Advances article Engineering Fuel Cells and Related Materials Open access 12 citations 3 results