Main Research Activities
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.Academic Training
- 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
Running Projects
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)
Integration of lithium-ion battery recycling into manufacturing through digitalization: A perspective
Imelda Cardenas-Sierra, Utkarsh Vijay, Frederic Aguesse, Néstor Antuñano, Elixabete Ayerbe, Lukas Gold, Aleksandra Naumann, Laida Otaegui, Nadir Recham, Simon Stier, Sandro Süß, Lalitha Subramanian, Nicolas Vallin, Gabriela Ventura Silva, Nicolas Von Drachenfels, Dennis Weitze, Alejandro A. Franco
Journal of Power Sources, 2025
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
ASME, 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
