Operando Modelling of porous catalytic nanomaterials via machine learning
Application of cutting edge machine-learning based methods in support of quantum chemistry calculations for enhanced sampling and analysis of catalytic porous materials (zeolites, MOFs, silicate derivatives) - towards bottom-up design …