Francisco
Fernandez
Tél. : 0322825335
Topics Covered
Main Research Activities
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.Academic Training
PhD (Laboratorio de Energías Sustentables (LaES), Dr. Ezequiel Leiva & Dr. Daniel Barraco, 2019-2024, Computational modeling of lithium-ion battery electrodes)
Professional skills
Particle dynamics, discrete element, molecular dynamics and machine learning
Running Projects
European DIGICELL project
Transfer learning assessment of small datasets relating manufacturing parameters with electrochemical energy cell component properties
Francisco Fernandez, Soorya Saravanan, Rashen Lou Omongos, Javier F. Troncoso, Diego E. Galvez-Aranda and Alejandro Franco
npj computational materials, 2025
