Identifying magic-number structures of supported sub-nano Ni clusters and the influence of hydrogen coverage: a density functional theory based particle swarm optimization investigation

CATALYSIS SCIENCE & TECHNOLOGY(2023)

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摘要
Supported sub-nano Ni clusters are of great significance to many heterogeneous catalysis applications. We conducted density functional theory based particle swarm optimization calculations to study the low-energy structures of sub-nano Nin (n = 2-21) clusters in the gas phase and on two oxide surfaces, ZnO(0001) and gamma-Al2O3(100). Our results show that sub-nano Ni clusters have magic structures, and the magic numbers are 4, 8, 11, 13, 15, and 19 on ZnO and 3, 5, 8, 11, 16, and 21 on gamma-Al2O3, respectively, essentially different from gas-phase Ni clusters (magic n = 2, 6, 10, 11, 13, 20). The morphological transformation of Ni clusters relies on the interplay between the Ni-oxide interaction and the Ni-Ni interaction inside the Ni clusters. The Ni-oxide interaction becomes weakened with the cluster size growing and the Ni-ZnO interaction is generally larger than the Ni-Al2O3 interaction, while the Ni-Ni interaction is independent of the type of oxide substrate and slightly grows with the cluster size increase. On ZnO, the Ni-Ni interaction exceeds the Ni-ZnO interaction beyond the Ni10 cluster, which evolves into a double-layer structure from planar 2D configurations, while on gamma-Al2O3(100), the morphological transition of the planar 2D structure towards a layered 3D structure occurs at the Ni7 cluster. Hydrogen coverage on Ni clusters lead to the conversion of the cluster morphology from layered 3D geometries to more open one-layer 2D structures. Ab initio thermodynamics analysis on Ni11Hx clusters revealed that under the typical hydrogenation conditions (T = 673 K; PH2 = 10 atm), the most stable hydrogen-containing structures are the Ni11H10 cluster on ZnO and the Ni11H8 cluster on gamma-Al2O3, which both expose more Ni sites compared with the bare Ni11 cluster indicating an enhanced reactivity induced by a hydrogen environment.
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关键词
particle swarm optimization investigation,particle swarm optimization,hydrogen coverage,clusters,magic-number,sub-nano
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