ERC Consolidator Grant #772873
Prof. Alejandro A. Franco

Publications

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Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing

Marc Duquesnoy, Chaoyue Liu, Vishank Kumar, Elixabete Ayerbe, Alejandro A. Franco. Journal of Power Sources

2024
Mesoscopic Model of Extrusion during Solvent-Free Li-Ion Battery Electrode Manufacturing

Brayan Paredes-Goyes, Franco M. Zanotto, Victor Boudeville, Sylvie Grugeon, Loic Dupont, Alejandro A. Franco. Batteries & Supercaps

2023
Cover Feature: Computational Model for Predicting Particle Fracture During Electrode Calendering (Batteries & Supercaps 12/2023)

Jiahui Xu, Dr. Brayan Paredes-Goyes, Dr. Zeliang Su, Dr. Mario Scheel, Dr. Timm Weitkamp, Dr. Arnaud Demortière, Prof. Dr. Alejandro A. Franco. Batteries & Supercaps

2023
Modeling the 4D discharge of lithium-ion batteries with a multiscale time-dependent deep learning framework

Agnese Marcato, Javier E. Santos, Chaoyue Liu, Gianluca Boccardo, Daniele Marchisio, Alejandro A. Franco. Energy Storage Materials

2023
Combining Virtual Reality with Mixed Reality for Efficient Training in Battery Manufacturing

Lucie Denisart, Dr. Diana Zapata-Dominguez, Xavier David, Aubin Leclere, Romain Lelong, Chaoyue Liu, Jiahui Xu, Prof. Dr. Emilie Loup-Escande, Prof. Dr. Alejandro A. Franco. Batteries & Supercaps

2023
Computational Model for Predicting Particle Fracture During Electrode Calendering

Jiahui Xu, Dr. Brayan Paredes-Goyes, Dr. Zeliang Su, Dr. Mario Scheel, Dr. Timm Weitkamp, Dr. Arnaud Demortière, Prof. Dr. Alejandro A. Franco. Batteries & Supercaps

2023
Three-dimensional physical modeling of the wet manufacturing process of solid-state battery electrodes

Mohammed El-Abdali, Franco M. Zanotto, Marc Duquesnoy, Anna-Katharina Hatz, Duancheng Ma, Jérémie Auvergniot, Virginie Viallet, Vincent Seznec, Alejandro A. Franco. Journal of Power Sources

2023
Impact of the manufacturing process on graphite blend electrodes with silicon nanoparticles for lithium-ion batteries

Diana Zapata Dominguez, Brinti Mondal, Miran Gaberseck, Mathieu Morcrette, Alejandro A. Franco. Journal of Power Sources

2023
Optimization of the microstructure of carbon felt electrodes by applying the lattice Boltzmann method and Bayesian optimizer

Jia Yu, Marc Duquesnoy, Chaoyue Liu, Alejandro A. Franco. Journal of Power Sources

2023
Machine learning for optimal electrode wettability in lithium ion batteries

Amina El Malki, Mark Asch, Oier Arcelus, Abbos Shodiev, Jia Yu, Alejandro A. Franco Journal of Power Sources Advances

2023
LIBAC: An Annotated Corpus for Automated “Reading” of the Lithium-Ion Battery Research Literature

Hassna El-Bousiydy, Javier F. Troncoso, Patrik Johansson, Alejandro A. Franco. Chemistry of Materials

2023
Machine Learning-Assisted Multi-Objective Optimization of Battery Manufacturing from Synthetic Data Generated by Physics-Based Simulations

Marc Duquesnoy, Chaoyue Liu, Diana Zapata Dominguez, Vishank Kumar, Elixabete Ayerbe, Alejandro A. Franco. Energy Storage Materials

2022
Coupling of multiscale imaging analysis and computational modeling for understanding thick cathode degradation mechanisms

Minghao Zhang, Mehdi Chouchane, S. Ali Shojaee, Bartlomiej Winiarski, Zhao Liu, Letian Li, Rengarajan Pelapur, Abbos Shodiev, Weiliang Yao, Jean-Marie Doux, Shen Wang, Yixuan Li, Chaoyue Liu, Herman Lemmens, Alejandro A. Franco, Ying Shirley Meng. Joule

2022
From Battery Manufacturing to Smart Grids: Towards a Metaverse for the Energy Sciences

Prof. Dr. Alejandro A. Franco, Prof. Dr. Emilie Loup-Escande, Goran Loiseaux, Dr. Jean-Noël Chotard, Dr. Diana Zapata-Dominguez, Jan Ciger, Aubin Leclere, Lucie Denisart, Romain Lelong. Batteries & Supercaps

2022
Electrochemistry Visualization Tool to Support the Electrochemical Analysis of Batteries

Matheus Leal de Souza, Marc Duquesnoy, Mathieu Morcrette, Alejandro A. Franco. Batteries & Supercaps

2022

Publications

Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing

Mesoscopic Model of Extrusion during Solvent-Free Li-Ion Battery Electrode Manufacturing

Cover Feature: Computational Model for Predicting Particle Fracture During Electrode Calendering (Batteries & Supercaps 12/2023)

Modeling the 4D discharge of lithium-ion batteries with a multiscale time-dependent deep learning framework

Combining Virtual Reality with Mixed Reality for Efficient Training in Battery Manufacturing

Computational Model for Predicting Particle Fracture During Electrode Calendering

Three-dimensional physical modeling of the wet manufacturing process of solid-state battery electrodes

Impact of the manufacturing process on graphite blend electrodes with silicon nanoparticles for lithium-ion batteries

Optimization of the microstructure of carbon felt electrodes by applying the lattice Boltzmann method and Bayesian optimizer

Machine learning for optimal electrode wettability in lithium ion batteries

LIBAC: An Annotated Corpus for Automated “Reading” of the Lithium-Ion Battery Research Literature

Machine Learning-Assisted Multi-Objective Optimization of Battery Manufacturing from Synthetic Data Generated by Physics-Based Simulations

Coupling of multiscale imaging analysis and computational modeling for understanding thick cathode degradation mechanisms

From Battery Manufacturing to Smart Grids: Towards a Metaverse for the Energy Sciences

Electrochemistry Visualization Tool to Support the Electrochemical Analysis of Batteries