Descriptif des activités de recherche

I am developing a multi-fidelity modeling approach for the electrode manufacturing process of lithium ion battery cells. For this purpose I combine particle dynamics, discrete element, finite element, and machine learning. This models are obtained with softwares, like LAMMPS, and calibrated, trained, and validated with experimental data.

Parcours

PhD (Laboratorio de Energías Sustentables (LaES), Dr. Ezequiel Leiva & Dr. Daniel Barraco, 2019-2024, Computational modeling of lithium-ion battery electrodes)

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Compétences

Projets en cours

European DIGICELL project

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