ERC Consolidator Grant #772873
Prof. Alejandro A. Franco

Publications - Page 2 of 4

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Perspectives on manufacturing simulations of Li-S battery cathodes

Oier Arcelus and Alejandro A. Franco. JPhys Energy

2022
The ARTISTIC Online Calculator: Exploring the Impact of Li-ion Battery Electrode Manufacturing Parameters Interactively through your Browser

Teo Lombardo, Fernando Caro, Alain C. Ngandjong, Jean-Baptiste Hook, Marc Duquesnoy, Jean Charles Delepine, Adrien Ponchelet, Sylvain Doison and Alejandro A. Franco. Batteries & Supercaps

2022
Towards autonomous high-throughput multiscale modelling of battery interfaces

Zeyu Deng, Vipin Kumar, Felix T. Bölle, Fernando Caro, Alejandro A. Franco, Ivano E. Castelli, Pieremanuele Canepa and Zhi Wei Seh. Energy & Environmental Science

2021
Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities

Elixabete Ayerbe, Maitane Berecibar, Simon Clark, Alejandro A. Franco, Janna Ruhland. Advanced Energy Materials

2021
Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective

Maximilian Fichtner, Kristina Edström, ... , Alejandro A. Franco et. al. Advanced Energy Materials

2021
Artificial Intelligence Applied to Battery Research: Hype or Reality?

Teo Lombardo, Marc Duquesnoy, Hassna El‐Bousiydy et. al. Chemical Reviews

2021
Carbon-Binder Migration: A Three-Dimensional Evaporation Model for Lithium Ion Batteries

Teo Lombardo, Alain C. Ngandjong, Amal Belhcen, Alejandro A. Franco. Energy Storage Materials

2021
Machine learning 3D-resolved prediction of electrolyte infiltration in battery porous electrodes

Abbos Shodiev, Marc Duquesnoy, Oier Arcelus, Mehdi Chouchane, Jianlin Li, Alejandro A. Franco. Journal of Power Sources (2021), 511, 230384

2021
Towards a 3D-resolved model of Si/Graphite composite electrodes from manufacturing simulations

Chaoyue Liu, Oier Arcelus, Teo Lombardo, Hassan Oularbi, Alejandro A. Franco. Journal of Power Sources (2021), 512, 230486

2021
Quantitatively Designing Porous Copper Current Collectors for Lithium Metal Anodes

B. Lu, E. Olivera, J. Scharf, M. Chouchane, C. Fang, M. Ceja, L. E. Pangilinan, S. Zheng, A. Dawson, D. Cheng, W. Bao, O. Arcelus, A. A. Franco, X. Li, S. H. Tolbert, Y. S. Meng. ACS Appl. Energy Mater (2021), 4, 7, 6454–6465

2021
An Invitation to Engage with Computational Modeling: User-Friendly Tool for In Silico Battery Component Generation and Meshing

Mehdi Chouchane, Alejandro A. Franco. Batteries & Supercaps (2021)

2021
Machine Learning-Based Assessment of the Impact of the Manufacturing Process on Battery Electrode Heterogeneity

Marc Duquesnoy, Iker Boyano, Larraitz Ganborena, Pablo Cereijo, Elixabete Ayerbe, Alejandro A. Franco. Energy & AI. 100090

2021
Heterogeneous Solid Electrolyte Interphase in Graphite Electrodes Assessed by 4D‐Resolved Computational Simulations

Mehdi Chouchane Oier Arcelus Alejandro A. Franco. Batteries & Supercaps (2021), 10.1002/batt.202100030 .

2021
Escape from flatland

Alejandro A. Franco. Nat Mach Intell (2021)

2021
Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning

Yu-Ting Chen, Marc Duquesnoy, Darren H. S. Tan, Jean-Marie Doux, Hedi Yang, Grayson Deysher, Phillip Ridley, Alejandro A. Franco, Ying Shirley Meng and Zheng Chen. ACS Energy Lett. (2021), 6, 4, 1639-1648

2021

Publications - Page 2 of 4

Perspectives on manufacturing simulations of Li-S battery cathodes

The ARTISTIC Online Calculator: Exploring the Impact of Li-ion Battery Electrode Manufacturing Parameters Interactively through your Browser

Towards autonomous high-throughput multiscale modelling of battery interfaces

Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities

Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective

Artificial Intelligence Applied to Battery Research: Hype or Reality?

Carbon-Binder Migration: A Three-Dimensional Evaporation Model for Lithium Ion Batteries

Machine learning 3D-resolved prediction of electrolyte infiltration in battery porous electrodes

Towards a 3D-resolved model of Si/Graphite composite electrodes from manufacturing simulations

Quantitatively Designing Porous Copper Current Collectors for Lithium Metal Anodes

An Invitation to Engage with Computational Modeling: User-Friendly Tool for In Silico Battery Component Generation and Meshing

Machine Learning-Based Assessment of the Impact of the Manufacturing Process on Battery Electrode Heterogeneity

Heterogeneous Solid Electrolyte Interphase in Graphite Electrodes Assessed by 4D‐Resolved Computational Simulations

Escape from flatland

Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning