Prof. Alejandro A. Franco's group works in the field of electrochemical energy storage and conversion devices such as batteries and fuel cells.
It has an unique expertise encompassing computational multiscale modeling techniques, advanced experimental characterization, Data Science, Artificial Intelligence/Machine Learning & Virtual/Mixed Reality tools. The team aims at advancing these energy technologies to boost their deployment in the undergoing societal transformation motivated by the Climate Change and limitation of fossil fuels. Prof. Franco's team is located at the Laboratoire de Réactivité et Chimie des Solides -LRCS- (UMR CNRS 7314) at Université de Picardie Jules Verne, in Amiens, France. LRCS is the headquarters of the French Network on Electrochemical Energy Storage (RS2E) and member of the ALISTORE European Research Institute.
Prof. Franco's group research paradigm consists at first designing theories aiming at explaining experimental observations by describing the operation principles of electrochemical energy devices. These theories are then translated in terms of mathematical equations, frequently too complex to be solved by hand. Then, the equations are implemented in computer programs (models) allowing to solve them and to simulate the behavior of materials, interfaces, components and electrochemical cells. The simulations results are systematically confronted with in house
experimental data to parameterize and to validate the models. Once validated, the models are used for optimization and for prediction. Furthermore, Data Science and Artificial Intelligence are used to find parameters interdependencies in large datasets, whereas Virtual/Mixed Reality are used to visualize results in an interactive and immersive way and to disseminate the work to the large public and to the students.