Probing the nanoscale driving forces for adsorbate-induced Rh50Pd50 nanoparticle reconstruction via mean-field models of multi-faceted nanoparticles

Abstract

Bimetallic catalysts frequently exhibit synergistic performance as compared to their monometallic constituents but will undergo adsorbate-induced surface segregation and reconstruction upon exposure to reaction conditions. Although such phenomena have been extensively studied by both experimental and computational approaches, there is still a lack of insight into the impact of adsorbate–surface and adsorbate–adsorbate interactions on such reconstruction. Furthermore, current computational approaches for capturing such reconstruction require expensive and time-consuming multi-scale simulations. Here, we address these challenges to modeling adsorbate-induced bimetallic nanoparticle reconstruction by developing a fast and accurate mean-field approach to modeling multi-faceted nanoparticles through a combination of density functional theory (DFT), kubic harmonics interpolation, and microkinetic modeling taken at the equilibrium limit. The power of our approach is demonstrated via a case study of Rh₅₀Pd₅₀ nanoparticle reconstruction under cyclical oxidizing and reducing conditions. Using DFT, we mapped the coverage, facet, and surface composition dependent O* adsorption and surface formation energies to develop mean-field models. Multi-faceted Rh₅₀Pd₅₀ nanoparticles under a range of temperature and pressure conditions were then modeled. The resulting O* coverage and surface layer compositions over the nanoparticles showed that highly attractive O*–Rh interactions are predominantly responsible for reconstruction but are modified by repulsive O*–O* interactions such that the absence of such O*–O* interactions fail to reproduce known experimental trends. Overall, our multi-faceted bimetallic nanoparticle modeling approach supplies faster, but still accurate predictions of surface reconstruction behaviors with a concise mean-field model. This allows for the identification of the reaction conditions and nanoscale interactions that lead to bimetallic nanoparticle reconstruction, as well as enabling the potential for tunable bimetallic nanoparticle engineering induced by reaction conditions.