Cibrán López-Álvarez

Unveiling correlated charge dynamics and recombination pathways in energy materials via quantum simulations and machine learning

(English) Understanding how atomic-scale mechanisms govern ionic and electronic transport is crucial for the design of next-generation energy materials. Here, we combine first-principles simulations and machine-learning techniques to provide predictive and transferable approaches for modelling and understanding at the...