| Literature DB >> 28211517 |
M J Zhu1, A V Kretinin2,3, M D Thompson4, D A Bandurin1, S Hu1, G L Yu1, J Birkbeck1,2, A Mishchenko1, I J Vera-Marun1, K Watanabe5, T Taniguchi5, M Polini6, J R Prance4, K S Novoselov1,2, A K Geim1,2, M Ben Shalom1,2.
Abstract
An energy gap can be opened in the spectrum of graphene reaching values as large as 0.2 eV in the case of bilayers. However, such gaps rarely lead to the highly insulating state expected at low temperatures. This long-standing puzzle is usually explained by charge inhomogeneity. Here we revisit the issue by investigating proximity-induced superconductivity in gapped graphene and comparing normal-state measurements in the Hall bar and Corbino geometries. We find that the supercurrent at the charge neutrality point in gapped graphene propagates along narrow channels near the edges. This observation is corroborated by using the edgeless Corbino geometry in which case resistivity at the neutrality point increases exponentially with increasing the gap, as expected for an ordinary semiconductor. In contrast, resistivity in the Hall bar geometry saturates to values of about a few resistance quanta. We attribute the metallic-like edge conductance to a nontrivial topology of gapped Dirac spectra.Entities:
Year: 2017 PMID: 28211517 PMCID: PMC5321719 DOI: 10.1038/ncomms14552
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Figure 1Gated Josephson junctions and spatial distribution of supercurrents.
(a) Electron micrograph of our typical device (in false colour). Nb leads (green) are connected to bilayer graphene (its edges are indicated by red dashes). The top gate is shown in yellow. (b) Schematics of such junctions. (c) Illustration of uniform and edge-dominant current flow through Josephson junctions (top and bottom panels, respectively). (d) The corresponding behaviour of the critical current Ic as a function of B. Ic(B) is related to Js(x) by the equation shown in d. For a uniform current flow, Ic should exhibit a Fraunhofer-like pattern (top panel) such that the supercurrent goes to zero each time an integer number N of magnetic flux quanta Φ0 thread through the junction. Maxima in Ic between zeros also become smaller with increasing N. For the flow along edges (bottom panel), Ic is minimal for half-integer flux values Φ=(N+1/2)Φ0, and maxima in Ic are independent of B. The spatial distribution Js(x) can be found2425 from Ic(B) using the inverse FFT. Due to a finite interval of Φ over which the interference pattern is usually observed experimentally, Js(x) obtained from the FFT analysis are usually smeared over the x axis as shown schematically in c.
Figure 2Redistribution of supercurrent as the gap opens in bilayer graphene.
(a) Resistance R of one of our Josephson junctions (3.5 μm wide and 0.4 μm long) above the critical T as a function of top and bottom gate voltages. The dashed white line indicates equal doping of the two graphene layers with carriers of the same sign. The dashed green line marks the CNP (maximum R) and indicates equal doping with opposite sign carriers. (b) Differential resistance dV/dI measured along the green line in a at low T and in zero B. Transition from the dissipationless regime to a finite voltage drop shows up as a bright curve indicating Ic. The vertical line marks the superconducting gap of our Nb films. (c) Interference patterns in small B. The top panel is for the case of high doping [Ic(B=0) ≈10 μA] and indistinguishable from the standard Fraunhofer-like behaviour illustrated in Fig. 1d. The patterns below correspond to progressively larger Egap. Changes in the phase of Fraunhofer oscillations are highlighted by the vertical dashed white lines. (d) Extracted spatial profiles of the supercurrent density (Js) at the CNP for the three values of D in c.
Figure 3Interference patterns and supercurrent flow in gapped and non-gapped graphene monolayers.
(a) Differential resistance as a function of carrier concentration n and applied current I for a Nb-MLG-Nb junction (5 μm wide and 0.4 μm long). The gap is induced by alignment with the bottom hBN crystal. (b) Same for encapsulated but nonaligned monolayer graphene (the junction is 3 μm wide and 0.35 μm long). (c) Interference patterns for gapped MLG at relatively high doping (top panel) and at the CNP. (d) Same for non-gapped graphene. (e,f) Corresponding spatial profiles of the supercurrent density (Js). They were calculated using experimental patterns such as shown in c,d. Note that graphene edges in e support fairly high supercurrent at the CNP, whereas there is no indication of any enhanced current density along edges for the non-gapped case in f.
Figure 4Charge-neutral bilayer graphene in the Corbino and Hall bar geometries.
(a) Optical image of one of our devices with a Hall bar and two Corbino disks. The left-disk image is coloured to indicate source, drain and top gate electrodes. (b) Cross-sectional schematic of our double-gated Corbino devices. (c) Resistivity ρ at the CNP for Corbino and Hall bar geometries as a function of D. For the Corbino device, ρ changes exponentially over three orders of magnitude. The Hall bars exhibit saturation to a few R. (d) Arrhenius plot for ρ(T). The energy gap Egap is calculated from the linear slopes at T>100 K, which are similar for both Corbino and Hall bar geometries. Below 50 K, the Hall bar device exhibits little T dependence. Inset: Egap found for various D (symbols). The blue curve is tight-binding calculations for the BLG gap from ref. 3.