courbe en fond

Non permanents

Descriptif des activités de recherche

The goal of ARTISTIC project is to develop a computational platform able to predict the link between the electrodes’ fabrication process and the electrochemical performance of the resulting lithium ion batteries. Each step of fabrication/processing (i.e. slurry preparation, slurry casting at the current collector, evaporation of the solvent, calendaring and electrolyte impregnation) will be modeled through a multiscale approach, which needs of parametrization/validation of the proposed models with experimental data obtained throughout the entire battery fabrication process. My task is to generate such collection of experimental output to refine the model and to propose new ways of making it more accurate based on several characterization techniques for both the slurries and electrodes.


  • Post-doc fellow at Sustainable Energies Laboratory, Faculty of Mathematics, Astronomy and Physics, National University of Córdoba, Argentina.

Theoretical and experimental studies for the development of new anodes and cathodes for lithium ion batteries.

  • PhD in Chemical Sciences. Faculty of Chemical Sciences, National University of Córdoba, Argentina.

Carbon nanotube- and graphene-modified electrodes. Characterization and development of electrochemical and plasmonic biosensors towards the detection of relevant bio-markers.

  • Degree in Chemistry (equivalent to M. Sc.). Faculty of Chemical Sciences, National University of Córdoba, Argentina.


Slurry preparation and optimization: from raw materials to electrode. Experimental techniques that aid that process: rheology, SEM, Raman/FTIR/UV-Vis spectroscopy, 7Li-NMR, XRD. Electrochemical tests/characterization: galvanostatic/potentiostatic techniques/analysis, electrochemical impedance spectroscopy.

Projets en cours

ARTISTIC Project: Advanced and Reusable Theory for the In Silico optimization of composite electrode fabrication processes for rechargeable battery Technologies with Innovative Chemistries

What can text mining tell us about lithium‐ion battery researchers’ habits?

Hassna El-Bousiydy, Teo Lombardo, Emiliano N. Primo, Marc Duquesnoy, Mathieu Morcrette, Patrik Johansson, Patrice Simon, Alexis Grimaud, Alejandro A. Franco

Batteries & Supercaps, 2021

Understanding the calendering processability of Li(Ni0.33Mn0.33Co0.33)O2-based cathodes

Emiliano N. Primo, Mehdi Chouchane, Matthieu Touzin, Patricia Vazquez, Alejandro A. Franco

Journal of Power Sources, 2021

Investigating electrode calendering and its impact on electrochemical performance by means of a new discrete element method model: Towards a digital twin of Li-Ion battery manufacturing

Alain C. Ngandjong, Teo Lombardo, Emiliano Primo, Mehdi Chouchane, Abbos Shodiev, Oier Arcelus, Alejandro A. Franco

Journal of Power Sources, 2020

Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning

Marc Duquesnoy, Teo Lombardo, Mehdi Chouchane, Emiliano N. Primo, Alejandro A. Franco

Journal of Power Sources, 2020

Accelerated Optimization Methods for Force‐Field Parametrization in Battery Electrode Manufacturing Modeling

Teo Lombardo, Dr. Jean‐Baptiste Hoock, Dr. Emiliano N. Primo, Dr. Alain C. Ngandjong, Marc Duquesnoy, Prof. Dr. Alejandro A. Franco

Batteries & Supercaps, 2020

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