The project will demonstrate a science-based approach to the development of electrode materials forming key parts of reversible chemical-to-power cells. Such devices operate in two modes: in fuel cell (FC) mode, it converts hydrogen into electricity whereas when operating as electrolyser cell (EC), it uses excess electricity to form hydrogen from water electrolysis. This versatility enables the integration of intermittent renewable energy sources with the electrical grid by storing the excess energy as carbon-free chemical fuel. In particular, the project targets mixed oxides with perovskite structure with minimised critical content while keeping highest possible performances and targeting fair economic viability.
The main objective of the KNOWSKITE-X project is to boost the development of materials for energy applications by combining state-of-art approaches together with the empowerment of knowledge discovery allowed by artificial intelligence (AI). In particular, the project integrates a smart combination of advanced technologies, involving tailor-made materials preparation, harmonised and ground-breaking characterisation methods, multi-scale modelling and AI-enabled tools. This corpus of open-minded, innovative, reliable, and use-relevant methodologies targets the discovery of the scientific knowledge required to sustain the rational design of optimized candidate electrode materials.