Topics Covered
Main Research Activities
The PhD project is part of the ARTISTIC project lead by Prof. Alejandro A. Franco. The target of ARTISTIC project is to create a modeling framework to rationalize and optimize the electrode fabrication process. My task is to extend the manufacturing simulation platform to other materials including LiFePO4 and silicon, to improve the scope of application of the modeling framework. The challenge will be integrating different mechanisms to the platform, for example phase separation for LiFePO4 and volume change and stress distribution of silicon.Supervisor Prof. Alejandro A. Franco
Academic Training
Master of Applied Chemistry (Xiamen University,China, 2017-2020)
Project: Electrochemical and thermal modelling of Li-ion battery.
Supervisor: Prof. Jinbao Zhao
Professional skills
Thermal characterization of materials and battery cells : DSC, ARC
Running Projects
ARTISTIC (Advanced and Reusable Theory for the In Silico optimization of composite electrode fabrication processes for rechargeable battery Technology with Innovative Chemistries) /2018-2023/ ERC Consolidator Grant
Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing
Marc Duquesnoy, Chaoyue Liu, Vishank Kumar, Elixabete Ayerbe and Alejandro A. Franco
Journal of Power Sources, 2024
Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing
Marc Duquesnoy; Chaoyue Liu; Vishank Kumar, Elixabete Ayerbe and Alejandro A; Franco
Journal of Power Sources, 2024
Combining Virtual Reality with Mixed Reality for efficient training in Battery Manufacturing
Lucie Denisart, Diana Zapata-Dominguez, Xavier David, Aubin Leclere, Romain Lelong, Chaoyue Liu, Jiahui Xu, Emilie Loup-Escande, Alejandro A. Franco
Batteries & Supercaps, 2023
Optimization of the microstructure of carbon felt electrodes by applying the lattice Boltzmann method and Bayesian optimizer
Jia Yu, Marc Duquesnoy, Chaoyue Liu, Alejandro A. Franco
Journal of Power Sources, 2023
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, 2023
