ERC Consolidator Grant #772873
Prof. Alejandro A. Franco

Publications

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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
Lithium ion battery electrode manufacturing model accounting for 3D realistic shapes of active material particles

Jiahui Xu, Alain C. Ngandjong, Chaoyue Liu, Franco M. Zanotto, Oier Arcelus, Arnaud Demortière, Alejandro A. Franco. Journal of Power Sources

2022
An experimentally-validated 3D electrochemical model revealing electrode manufacturing parameters’ effects on battery performance

Chaoyue Liu, Teo Lombardo, Jiahui Xu, Alain C. Ngandjong, Alejandro A. Franco. Energy Storage Material

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

Alejandro A. Franco, Emilie Loup-Escande, Goran Loiseaux, Jean-Noel Chotard, Diana Zapata-Dominguez, Jan Ciger, Aubin Lecrere, Lucie Denisart, Romain Lelong. Batteries & Supercapes

2022
About the Consideration of the Inactive Materials and the Meshing Procedures in Computational Models of Lithium Ion Battery Electrodes

Mehdi Chouchane, Alejandro A. Franco. ChemElectroChem

2022
Functional data-driven framework for fast forecasting of electrode slurry rheology simulated by molecular dynamics

Marc Duquesnoy, Teo Lombardo, Fernando Caro, Florent Haudiquez, Alain C. Ngandjong, Jiahui Xu, Hassan Oularbi & Alejandro A. Franco. npj Computational Materials

2022
Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities

Franco M. Zanotto, Diana Zapata Dominguez, Elixabete Ayerbe, et al. & Alejandro A. Franco. Batteries & Supercaps

2022
Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence

Jonathan Scharf, Mehdi Chouchane, Donal P. Finegan, Bingyu Lu, Christopher Redquest, Min-cheol Kim, Weiliang Yao, Alejandro A. Franco, Dan Gostovic, Zhao Liu, Mark Riccio, František Zelenka, Jean-Marie Doux & Ying Shirley Meng. Nature Nanotechnology

2022
Artificial Intelligence in Electrochemical Energy Storage

Alejandro A. Franco, Amanda S. Barnard. Batteries & Supercaps

2022
Pore size distribution of carbon black: An approach from a coarse-grained potential

PatricioVélez, Guillermina L. Luque, Daniel E. Barraco, Alejandro A. Franco, Ezequiel P.M. Leiva. Computational Materials Science

2022
Designing Electrode Architectures to Facilitate Electrolyte Infiltration for Lithium-Ion Batteries

AbbosShodiev, Franco M. Zanotto, Jia Yu, Mehdi Chouchane, Jianlin Li, Alejandro A. Franco. Energy Storage Materials

2022
Experimentally Validated Three-Dimensional Modeling of Organic-Based Sodium-Ion Battery Electrode Manufacturing

Teo Lombardo, Fanny Lambert, Roberto Russo, Franco M. Zanotto, Christine Frayret, Gwenaelle Toussaint, Philippe Stevens, Matthieu Becuwe, Alejandro A. Franco. Batteries & Supercaps

2022
Deconvoluting benefits of porosity distribution in layered electrodes on electrochemical performance of Li-ion batteries

Abbos Shodiev, Mehdi Chouchane, Miran Gaberscek, Oier Arcelus, Jiahui Xu, Hassan Oularbi, Jia Yu, Jianlin Li, Mathieu Morcrette, Alejandro A.Franco. Energy Storage Materials

2022
Deconvoluting the Impacts of the Active Material Skeleton and the Inactive Phase Morphology on the Performance of Lithium Ion Battery Electrodes

Mehdi Chouchane, Alejandro A. Franco. Energy Storage Materials

2022

Publications

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

Lithium ion battery electrode manufacturing model accounting for 3D realistic shapes of active material particles

An experimentally-validated 3D electrochemical model revealing electrode manufacturing parameters’ effects on battery performance

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

About the Consideration of the Inactive Materials and the Meshing Procedures in Computational Models of Lithium Ion Battery Electrodes

Functional data-driven framework for fast forecasting of electrode slurry rheology simulated by molecular dynamics

Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities

Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence

Artificial Intelligence in Electrochemical Energy Storage

Pore size distribution of carbon black: An approach from a coarse-grained potential

Designing Electrode Architectures to Facilitate Electrolyte Infiltration for Lithium-Ion Batteries

Experimentally Validated Three-Dimensional Modeling of Organic-Based Sodium-Ion Battery Electrode Manufacturing

Deconvoluting benefits of porosity distribution in layered electrodes on electrochemical performance of Li-ion batteries

Deconvoluting the Impacts of the Active Material Skeleton and the Inactive Phase Morphology on the Performance of Lithium Ion Battery Electrodes