Carbon Monoxide Poisoning Resistance and Structural Stability of Single Atom Alloys.
Matthew T DarbyE Charles H SykesAngelos MichaelidesMichail StamatakisPublished in: Topics in catalysis (2018)
Platinum group metals (PGMs) serve as highly active catalysts in a variety of heterogeneous chemical processes. Unfortunately, their high activity is accompanied by a high affinity for CO and thus, PGMs are susceptible to poisoning. Alloying PGMs with metals exhibiting lower affinity to CO could be an effective strategy toward preventing such poisoning. In this work, we use density functional theory to demonstrate this strategy, focusing on highly dilute alloys of PGMs (Pd, Pt, Rh, Ir and Ni) with poison resistant coinage metal hosts (Cu, Ag, Au), such that individual PGM atoms are dispersed at the atomic limit forming single atom alloys (SAAs). We show that compared to the pure metals, CO exhibits lower binding strength on the majority of SAAs studied, and we use kinetic Monte Carlo simulation to obtain relevant temperature programed desorption spectra, which are found to be in good agreement with experiments. Additionally, we consider the effects of CO adsorption on the structure of SAAs. We calculate segregation energies which are indicative of the stability of dopant atoms in the bulk compared to the surface layer, as well as aggregation energies to determine the stability of isolated surface dopant atoms compared to dimer and trimer configurations. Our calculations reveal that CO adsorption induces dopant atom segregation into the surface layer for all SAAs considered here, whereas aggregation and island formation may be promoted or inhibited depending on alloy constitution and CO coverage. This observation suggests the possibility of controlling ensemble effects in novel catalyst architectures through CO-induced aggregation and kinetic trapping.
Keyphrases
- density functional theory
- molecular dynamics
- monte carlo
- human health
- metal organic framework
- health risk
- highly efficient
- aqueous solution
- health risk assessment
- risk assessment
- perovskite solar cells
- reduced graphene oxide
- heavy metals
- ionic liquid
- single cell
- diabetic rats
- climate change
- machine learning
- room temperature
- visible light
- quantum dots
- oxidative stress
- healthcare
- endothelial cells
- drinking water
- dna binding
- gold nanoparticles