10.1021/acs.jpcc.9b08662.s001 Hongbo Wu Hongbo Wu Jonathan E. Sutton Jonathan E. Sutton Wei Guo Wei Guo Dionisios G. Vlachos Dionisios G. Vlachos Volcano Curves for in Silico Prediction of Mono- and Bifunctional Catalysts: Application to Ammonia Decomposition American Chemical Society 2019 FP Monte Carlo KMC method microstructure monofunctional materials volcano curve Ammonia Decomposition Computational screening bimetallic facets materials exhibit SR-MKM Volcano Curves Silico Prediction KMC calculations Bifunctional Catalysts SR-KMC volcanos Dual site ammonia decomposition multifunctional catalysts model 2019-10-28 15:38:21 Journal contribution https://acs.figshare.com/articles/journal_contribution/Volcano_Curves_for_in_Silico_Prediction_of_Mono-_and_Bifunctional_Catalysts_Application_to_Ammonia_Decomposition/10060157 Computational screening of catalysts with complex microstructures and/or multiple interacting sites is challenging. Here, we evaluate the ammonia decomposition on perfect and patched core–shell bimetallic facets using a hierarchy of kinetic models, namely, scaling relations (SRs)-based mean-field microkinetic models (SR-MKM), and first-principles (FP) and SR-based spatially resolved kinetic Monte Carlo (FP- and SR-KMC) simulations. SR-KMC volcanos possess a double-peak on perfect facets and a single peak on patched bimetallic facets. When lateral interactions of the most abundant surface intermediate are strong, only the KMC method predicts the volcano accurately. Dual site (bifunctional) materials exhibit a considerably different volcano curve from monofunctional materials and thus, multifunctional materials’ property prediction requires KMC calculations. Our computational screening highlights the importance of the microstructure of multifunctional catalysts.