Elucidating the Role of Nickel Catalyst Properties, Synthesis Methods, Process Variables, and Reactor Geometry on Hydrogen Production from Ammonia
This study explores seven machine learning (ML) models to predict the performance of cost-effective Ni-based catalysts and assess the effects of various parameters on ammonia decomposition. A comprehensive database consisting of 6447 datapoints, with 16 input features describing catalyst composition, synthesis, react...