Descriptif des activités de recherche


My PREDICTOR Ph.D. project focuses on developing data fusion algorithms to integrate information from multiple experimental electrochemical characterization techniques and the electrochemical performance models that I will develop. With the fused data, electrolyte formulations will be optimized with regard to multiple target electrochemical properties, using Machine Learning algorithms. The project also involves performing numerical simulations to describe the manufacturing and electrochemical performance of the redox flow battery systems.

Parcours


Expertise


  • Electrochemistry
  • Redox Flow Batteries
  • Machine Learning
  • Ab-initio modelling
  • Machine Learning

Implication dans des projets


  • PREDICTOR/2025-2028/ European Union’s Marie-Sklodowska-Curie programme

Dernières publications


Publications