Descriptif des activités de recherche
My Ph.D. project aims at developing and demonstrating a novel computational approach for quasi-real-time physics-informed simulation of the battery electrode manufacturing process and of the influence of its parameters on the electrode architecture, paving the way to a concrete Battery Industry 4.0. This approach will be supported on surrogate models powered by machine learning (ML) methods, able to mimic the results of physics-based manufacturing process models.Parcours
- 2020-2022: Masters in Advanced Material Innovative Recycling by EIT Raw Materials
i. 2020-2021: Masters in Chemistry from University of Bordeaux, France
ii. 2021-2022: Masters in Circular Economy speciality in minerals and construction productsfrom Universidad Politecnica de Madrid, Spain
- 2016, B.Sc.(Research) from Indian Institute of Science, Bangalore, India
Projets en cours
DESTINY Ph.D Programme : An European Doctorate Programme (2022-2025).
Supported and co-funded by the European Commission through the Horizon 2020 Marie Sklodowska-Curie COFUND PhD Programme (Grant Agreement # 945357)
A Hybrid Modelling Approach Coupling Physics-based Simulation and Deep Learning for Battery Electrode Manufacturing Simulations
Utkarsh Vijay, Diego E. Galvez-Aranda, Franco M. Zanotto, Tan Le-Dinh, Mohammed Alabdali, Mark Asch, Alejandro A. Franco
Energy Storage Materials, 2024
2024 roadmap for sustainable batteries
Maria-Magdalena Titirici, Patrik Johansson, Maria Crespo Ribadeneyra, Heather Au, Alessandro Innocenti, Stefano Passerini, Evi Petavratzi, Paul Lusty, Annika Ahlberg Tidblad, Andrew J Naylor, Reza Younesi, Yvonne A Chart, Jack Aspinall, Mauro Pasta, Joseba Orive, Lakshmipriya Musuvadhi Babual, Marine Reynaud, Kenneth G Latham, Tomooki Hosaka, Shinichi Komaba, Jan Bitenc, Alexandre Ponrouch, Heng Zhang, Michel Armand, Robert Kerr, Patrick C Howlett, Maria Forsyth, John Brown, Alexis Grimaud, Marja Vilkman, Kamil Burak Dermenci, Seyedabolfazl Mousavihashemi, Maitane Berecibar, Jean E Marshall, Con Robert McElroy, Emma Kendrick, Tayeba Safdar, Chun Huang, Franco M Zanotto, Javier Fernandez Troncoso, Diana Zapata Dominguez, Mohammed Alabdali, Utkarsh Vijay, Alejandro A Franco, Sivaraj Pazhaniswamy, Patrick S Grant, Stiven Lopez Guzman, Marcus Fehse, Montserrat Galceran Mestres and Néstor Antuñano
JPhys Energy, 2024
Combining Physics-Based Modeling and Artificial Intelligence for the Optimization of Battery Manufacturing Processes
Alejandro A. Franco, Utkarsh Vijay, Soorya Saravanan
2024
Time-Dependent Deep Learning Manufacturing Process Model for Battery Electrode Microstructure Prediction
Diego E. Galvez-Aranda, Tan Le Dinh, Utkarsh Vijay, Franco M. Zanotto, Alejandro A. Franco
Advanced Energy Materials, 2024
