Multiscale modelling of components and devices
This research presents "π learning," a pioneering deep learning framework for optimising high-performance porous electrodes in electrochemical energy devices, such as fuel cells and batteries. It combines advanced neural networks and physics modelling to improve electrode performance prediction.