2014
DOI: 10.1021/nl5026985
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Temperature-Driven Changes of the Graphene Edge Structure on Ni(111): Substrate vs Hydrogen Passivation

Abstract: Atomic-scale description of the structure of graphene edges on Ni(111), both during and post growth, is obtained by scanning tunneling microscopy (STM) in combination with density functional theory (DFT). During growth, at 470 °C, fast STM images (250 ms/image) evidence graphene flakes anchored to the substrate, with the edges exhibiting zigzag or Klein structure depending on the orientation. If growth is frozen, the flake edges hydrogenate and detach from the substrate, with hydrogen reconstructing the Klein … Show more

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Cited by 29 publications
(33 citation statements)
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References 53 publications
(84 reference statements)
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“…In particular, on nickel (Ni) (111) and cobalt (Co) (0001) at specific growth conditions graphene can take the (1×1) registry with respect to the substrates, due to the very small lattice mismatch (2.46 Å for graphene vs. 2.49/2.50 Å for Ni(111)/Co(0001)), as well as to the relatively strong interfacial coupling (i.e. chemisorption) [9][10][11][12]. For other strongly interacting systems, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, on nickel (Ni) (111) and cobalt (Co) (0001) at specific growth conditions graphene can take the (1×1) registry with respect to the substrates, due to the very small lattice mismatch (2.46 Å for graphene vs. 2.49/2.50 Å for Ni(111)/Co(0001)), as well as to the relatively strong interfacial coupling (i.e. chemisorption) [9][10][11][12]. For other strongly interacting systems, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…39 In this way, it is possible to resolve in real-time chemical reactions steps with atomic resolution. 59,60 Fig . 3 shows the three assembly mechanisms captured by high-speed STM imaging.…”
mentioning
confidence: 99%
“…This allows, for example, its implementation in experimental setups already optimized for in-situ studies, capable then to work at high temperatures and pressure, as well as in electrochemical environments. In this context, the new FastSTM has been already successfully exploited for the investigation of a variety of dynamical processes occurring at surfaces, such as catalytic reactions [21,22], assembly of supramolecular networks [23] and diffusion of supported metal clusters [24]. These recent results demonstrate the actual possibility to study surface processes at the atomic scale in real-time, providing new insight and understanding on the dynamics occurring in the millisecond time scale.…”
Section: Faststmmentioning
confidence: 95%