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Bridging Models at Different Scales To Design New Generation Fuel Cells for Electrified Mobility

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

A Simple Transfer Learning Approach Applied to Small Experimental Li-Ion Electrode Manufacturing Datasets (opens in new window)

Author(s): Francisco Fernandez, Soorya Saravanan, Rashen Lou Omongos, Javier Fernandez Troncoso, Diego Eduardo Galvez Aranda, Alejandro Franco
Published in: ECS Meeting Abstracts, Issue MA2025-01, 2025, ISSN 2151-2043
Publisher: The Electrochemical Society
DOI: 10.1149/MA2025-013337MTGABS

Gas diffusion layer descriptors identified by machine learning to predict electrical contact resistance (opens in new window)

Author(s): V Román, M Valtiner, K Gkagkas, V Asouti, A Vernes
Published in: Modelling and Simulation in Materials Science and Engineering, Issue 33, 2025, ISSN 0965-0393
Publisher: IOP Publishing
DOI: 10.1088/1361-651X/ADE461

Machine learning-driven optimization of gas diffusion layer microstructure for PEM fuel cells (opens in new window)

Author(s): Rashen Lou Omongos, Diego E. Galvez-Aranda, Franco M. Zanotto, András Vernes, Alejandro A. Franco
Published in: Journal of Power Sources, Issue 625, 2024, ISSN 0378-7753
Publisher: Elsevier BV
DOI: 10.1016/j.jpowsour.2024.235583

Digital Correlation Analysis of Microporous Layers for Proton Exchange Membrane Fuel Cells Applications (opens in new window)

Author(s): Rashen Lou Omongos, Diego Eduardo Galvez Aranda, András Vernes, Alejandro Franco
Published in: ECS Meeting Abstracts, Issue MA2025-01, 2025, ISSN 2151-2043
Publisher: The Electrochemical Society
DOI: 10.1149/MA2025-01442361MTGABS

Descriptors of Gas Diffusion Layer to Use in Proton Exchange Membrane Fuel Cells Simulations

Author(s): Víctor Román, Varvara Asouti, András Vernes
Published in: 11th International Conference on Multiscale Materials Modeling, 2024

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