2023
DOI: 10.1039/d2cp05843j
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Carbon vacancy-assisted stabilization of individual Cu5 clusters on graphene. Insights from ab initio molecular dynamics

Abstract: Recent advances in synthesis and characterization methods have enabled the controllable fabrication of atomically precise metal clusters (AMCs) of subnanometer size that possess unique physical and chemical properties, yet to...

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Cited by 8 publications
(7 citation statements)
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“…The same values between braces were reported in Ref. [55] but using density fitting. CuÀ Cu distances (in Å) between selected nearest neighbours atoms in the optimized Cu5 structures are presented (see Figure 2).…”
Section: Distorted Jahn-teller Potential Energy Surface Region Of 3dà...mentioning
confidence: 53%
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“…The same values between braces were reported in Ref. [55] but using density fitting. CuÀ Cu distances (in Å) between selected nearest neighbours atoms in the optimized Cu5 structures are presented (see Figure 2).…”
Section: Distorted Jahn-teller Potential Energy Surface Region Of 3dà...mentioning
confidence: 53%
“…A good performance has been achieved with this scheme in describing both supported and unsupported subnanometer-sized silver [23,67] and copper [15,68] clusters, including different isomers of the Cu 5 cluster and the (Cu 5 ) 2 dimer. [54,55] In this work, the application of the DFTÀ D3 ansatz to the Jahn-Teller distorted potential energy surfaces of Cu 3 and Cu 5 clusters is a much more stringent test of its performance. Preliminary geometry optimizations with the RMP2 and DFTÀ D3 methods were carried out using density fitting but without imposing symmetry constraints.…”
Section: Single-reference Electronic Structure Calculationsmentioning
confidence: 99%
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“…The Sc 8 cluster, optimized using the PSO algorithm, has an adjacent bicapped octahedron structure; the Cu 5 cluster has a planar trapezoidal two-dimensional structure. The most stable structures of these metal clusters have been reported in previous studies. The structures of these clusters that we have identified using PSO are in perfect agreement with those reported in the previous studies. Ideally, one would like to compare the computationally determined structures with experimental results, as has been done in recent studies, , but a comparison with the structures presented in the literature provides some evidence that the PSO algorithm is good at accurately searching for stable structures.…”
Section: Resultsmentioning
confidence: 99%