Batman
The combination of physical models and machine learning enables realistic simulation of nanoporous carbon electrodes.
At a fixed structural disorder, the capacity indeed increases as the pore size decreases below one nanometer.
Voir plus
Artificial intelligence makes it possible to model the batteries of the future, from the atomic scale to the manufacturing process.
This work helps accelerate the development of energy storage systems that are more efficient, more durable, and better suited to the growing needs of electrification.
Voir plus
Deep Learning, Transfer Learning, and Virtual Reality: Digital Levers for Battery Innovation
The BATMAN project includes research activities aimed at developing and studying new digital methods for the simulation and optimization of rechargeable battery manufacturing processes
Voir plus