A Versatile and Efficient Voxelization-Based Meshing Algorithm of Multiple Phases by Mehdi Chouchane, Alexis Rucci, Alejandro A. Franco

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About the Consideration of the Inactive Materials and the Meshing Procedures in Computational Models of Lithium Ion Battery Electrodes by Dr. Mehdi Chouchane, Prof. Dr. Alejandro A. Franco

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Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity by Marc Duquesnoy, Iker Boyano, Larraitz Ganborena, Pablo Cereijo, Elixabete Ayerbe, Alejandro A. Franco

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Machine learning for optimal electrode wettability in lithium ion batteries by Amina El Malki, Mark Asch, Oier Arcelus, Abbos Shodiev, Jia Yu, Alejandro A. Franco

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Influence of the mixing speed in the rheology of NMC622-based Li-ion battery electrode slurries by Diana Zapata Dominguez, Jiahui Xu, Yasmina Boudjema, Siwar Ben Hadj Ali, Franco M. Zanotto, Alejandro A. Franco

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Functional data-driven framework for fast forecasting of electrode slurry rheology simulated by molecular dynamics by Marc Duquesnoy, Teo Lombardo, Fernando Caro, Florent Haudiquez, Alain C. Ngandjong, Jiahui Xu, Hassan Oularbi, Alejandro A. Franco

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Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images by Zeliang Su, Etienne Decencière, Tuan-Tu Nguyen, Kaoutar El-Amiry, Vincent De Andrade, Alejandro A. Franco, Arnaud Demortière

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