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Highly ordered N-heterocyclic carbene monolayers on Cu(111)

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Date
24/02/2022
Author
Angove, Eloise
Grillo, Federico
Fruchtl, Herbert A.
Veinot, Alex, J
Singh, Ishwar
Horton, J Hugh
Crudden, Cathleen M
Baddeley, Christopher J.
Funder
EPSRC
Grant ID
EP/S027270/1
Keywords
N-heterocyclic carbene
Scanning tunneling microscopy
High resolution electron energy loss spectroscopy
Cu
QD Chemistry
DAS
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Abstract
The benzannulated N-heterocyclic carbene, 1,3-dibenzylbenzimidazolylidene (NHCDBZ) forms large, highly ordered domains when adsorbed on Cu(111) under ultrahigh vacuum conditions. A combination of scanning tunnelling microscopy (STM), high resolution electron energy loss spectroscopy (HREELS) and density functional theory (DFT) calculations reveals that the overlayer consists of vertical benzannulated NHC moieties coordinating to Cu adatoms. Long range order results from the placement of the two benzyl substituents on opposite sides of the benzimidazole moiety, with their aromatic rings approximately parallel to the surface. The organization of three surface-bound benzyl substituents from three different NHCs into a triangular array controls the formation of a highly ordered Kagome-like surface lattice. By comparison with earlier studies of NHCs on Cu(111), we show that the binding geometry and self-assembly of NHCDBZ are influenced by intermolecular and adsorbate-substrate interactions and facilitated by the flexibility of the methylene linkage between the N-heterocycle and the aromatic wingtip substituents.
Citation
Angove , E , Grillo , F , Fruchtl , H A , Veinot , A J , Singh , I , Horton , J H , Crudden , C M & Baddeley , C J 2022 , ' Highly ordered N-heterocyclic carbene monolayers on Cu(111) ' , The Journal of Physical Chemistry Letters , vol. 13 , no. 8 , pp. 2051-2056 . https://doi.org/10.1021/acs.jpclett.1c04073
Publication
The Journal of Physical Chemistry Letters
Status
Peer reviewed
DOI
https://doi.org/10.1021/acs.jpclett.1c04073
ISSN
1948-7185
Type
Journal article
Rights
Copyright © 2022 The Authors. Open Access article licensed under Creative Commons Attribution CC-BY 4.0.
Description
EA and FG acknowledge funding from EPSRC grants (EA: EP/R512199/1; FG: EP/S027270/1). We thank the EaStCHEM for computational support via the EaStCHEM Research Computing facility. CMC thanks the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Canada Foundation for Innovation (CFI) for funding of the work from her lab described in this article. AJV acknowledges NSERC for a Vanier scholarship and the Walter C. Sumner foundation for additional financial support. IS acknowledges Queen’s University for the RT Mohan Scholarship and the Ontario government for an Ontario Graduate Scholarship.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/25311

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