2022
DOI: 10.1002/adfm.202208048
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Visualizing In‐Plane Junctions in Nitrogen‐Doped Graphene

Abstract: Controlling the spatial distribution of dopants in graphene is the gateway to the realization of graphene-based electronic components. Here, it is shown that a submonolayer of self-assembled physisorbed molecules can be used as a resist during a post-synthesis nitrogen doping process to realize a nanopatterning of nitrogen dopants in graphene. The resulting formation of domains with different nitrogen concentrations allows obtaining n-n' and p-n junctions in graphene. A scanning tunneling microscopy is used to… Show more

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Cited by 4 publications
(13 citation statements)
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“…Perhaps the simplest examples are side-coupled quantum dots and magnetic break junctions. More complex examples include scanning tunneling microscopy of magnetic atoms, small molecules, and more recently graphene-like nanostructures and molecular chains. , Finally, junctions comprising strongly correlated nanostructures can be approximately mapped onto embedded impurity models. In all these cases, a controlled theoretical treatment is challenging because numerical methods able to reliably access the correlated regime of nonequilibrium quantum impurity models are typically either limited in the level of detail in their description of the baths, especially out of equilibrium, or limited in accuracy by the need to go to high perturbation order (see the Supporting Information). As a result, theoretical work focuses on aspects of the weakly correlated regime or is confined to single- or few-channel correlated transport. …”
Section: The Systemmentioning
confidence: 99%
“…Perhaps the simplest examples are side-coupled quantum dots and magnetic break junctions. More complex examples include scanning tunneling microscopy of magnetic atoms, small molecules, and more recently graphene-like nanostructures and molecular chains. , Finally, junctions comprising strongly correlated nanostructures can be approximately mapped onto embedded impurity models. In all these cases, a controlled theoretical treatment is challenging because numerical methods able to reliably access the correlated regime of nonequilibrium quantum impurity models are typically either limited in the level of detail in their description of the baths, especially out of equilibrium, or limited in accuracy by the need to go to high perturbation order (see the Supporting Information). As a result, theoretical work focuses on aspects of the weakly correlated regime or is confined to single- or few-channel correlated transport. …”
Section: The Systemmentioning
confidence: 99%
“…In this frame, the LDA exchange-correlation energy is calculated using the efficient multi-center weighted exchange-correlation density approximation [17,18]. Optimized basis sets for C, O and Al have been used, in agreement with previous calculations [19][20][21]. Hence, we have considered a 4 × 4 layer of graphene, with periodicity in the xy-plane, and an AlO 2 molecule on top.…”
Section: Theoretical Characterization Of Al/graphene and Alox/graphen...mentioning
confidence: 99%
“…This, furthermore, gives rise to a -system of electrons at the Fermi-level, which is well-described by a widely used -model. Recently, it was shown how it may be possible to introduce patterns of N-doped regions on graphene by using a molecular overlayer mask of -molecules in the -ion implantation, enabling a spatial doping control down to the nano-meter scale [ 14 ]. In Figure 1 A, we show Scanning Tunneling Microscopy (STM) images of a overlayer mask on graphene.…”
Section: Introductionmentioning
confidence: 99%
“…When doping graphene in the lab, the different concentrations of nitrogen are implanted by first covering parts of the graphene with a C mask, then bombarding the surface with nitrogen, yielding a 60% reduction in nitrogen implantation under the mask [ 14 ]. This gives a potential profile that corresponds to the shape of the covering layer when the C is removed from the surface by sweeping the STM tip.…”
Section: Introductionmentioning
confidence: 99%
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