Fermi Velocity Dependent Critical Current in Ballistic Bilayer Graphene Josephson Junctions
Abstract
We perform transport measurements on proximitized, ballistic, bilayer graphene Josephson junctions (BGJJs) in the intermediate-to-long junction regime (). We measure the device’s differential resistance as a function of bias current and gate voltage for a range of different temperatures. The extracted critical current follows an exponential trend with temperature: . Here : an expected trend for intermediate-to-long junctions. From , we determine the Fermi velocity of the bilayer graphene, which is found to increase with gate voltage. Simultaneously, we show the carrier density dependence of , which is attributed to the quadratic dispersion of bilayer graphene. This is in contrast to single layer graphene Josephson junctions, where and the Fermi velocity are independent of the carrier density. The carrier density dependence in BGJJs allows for additional tuning parameters in graphene-based Josephson Junction devices.
keywords:
Graphene, Bilayer Graphene, Josephson Junctions, Fermi Velocity, Andreev Levels.Ballistic graphene Josephson junctions (GJJs) have been widely utilized as a platform to study novel quantum physics phenomena1, 2 and devices3, including: entangled pair generation4, 5, topological states arising from the mixing of superconductivity and quantum Hall states6, as well as photon sensing via bolometry/calorimetry7. Superconductor-normal metal-superconductor Josephson junction (SNSJJ) hosts Andreev bound states (ABS), which carry supercurrents across the normal region of the JJ; in order to enter the ballistic regime, a disorder-free weak link and high transparency at the SN interface are necessary. Hexagonal Boron-Nitride (hBN) encapsulated graphene as a weak link enables highly transparent contacts at the interface whilst keeping graphene clean throughout the fabrication process 8. Here, we study proximitized, ballistic, bilayer graphene Josephson junctions (BGJJs). Bilayer graphene devices (in contrast to monolayer) allow extra potential tunability via a non-linear dispersion relation, applied displacement field, or lattice rotation 1.
The critical current () of SNSJJ in the intermediate-to-long regime, where the junction length (L) superconducting coherence length (), scales with temperature (T) as . Here, , an energy scale related to the ABS level spacing 2, 9, 10, 11, 12, 13. Note that in the intermediate regime () is found to be suppressed 5. A previous study of GJJs found that in this regime, the relation is held more precisely when was taken into account along with L, that is: 2, 13. Monolayer graphene displays a linear dispersion relation, which results in a constant fermi velocity (). Thus, in ballistic GJJs, remains independent of the carrier density. In comparison, bilayer graphene displays a quadratic dispersion relation at low energies. In BGJJs we studied, a back-gate voltage () controls the carrier density; and dependence on is observed. Using , we extract the Fermi velocity in bilayer graphene: It is seen that increases with , and saturates to the constant value, , of the monolayer graphene.
Our device consists of a series of four terminal Josephson junctions (on substrate) made with hBN encapsulated bilayer graphene contacted by Molybdenum-Rhenium (MoRe) electrodes. Bilayer graphene is obtained via the standard exfoliation method. It is then encapsulated in hexagonal Boron-Nitride using the dry transfer method 14. MoRe of nm thickness is deposited via DC magnetron sputtering. The resulting device has four junctions of lengths nm, nm, nm, and nm. The width of the junctions is m. The device is cooled in a Leiden cryogenics dilution refrigerator operated at temperatures above K, and measurements were performed using the standard four-probe lock-in method. A gate voltage is applied to the substrate with the oxide layer acting as a dielectric, which allows modulation of the carrier density. 15, 16, 5, 2, 17, 6.

Figure. 1(a) displays the differential resistance () map of the nm junction at K; we see zero resistance (black region) across all applied indicating the presence of supercurrent. As the bias current is swept from negative to positive values, the junction first reaches its superconducting state at a value , known as the re-trapping current. Then, as is increased to higher positive values, the junction transitions to the normal state at , known as the switching current. Figure. 1(a) shows that the junction can sustain a larger region of critical current as we modulate the carrier density to higher values via . Fig. 1(b) displays line traces extracted from the map which shows hysteresis in and . This is a commonly observed phenomenon in underdamped junctions 18, 15, or can also be attributed to self-heating 16, 19, 17. The measured switching current is slightly suppressed compared to the junction’s “true” critical current . However, previous measurements on the statistical distribution of in similar graphene devices found that is suppressed from by no more than for critical currents up to a few 2, 20, 21, 22.
Extracting the critical current from the differential maps for different temperatures, we can see that falls exponentially with inverse (Figure. 2c) We also extract the conductance of the junction in the normal regime (). Figure. 2(b) shows this conductance () for the nm junction device. Due to the significant contact resistance () of the device, the measured conductance is uniformly suppressed compared to the ballistic limit expectation. However, when accounting for within the fit, we find that the conductance scales as the square-root (as opposed to linearly) of (blue curve of Figure 2(b)). This is consistent with ballistic transport23, 2. To further demonstrate the ballistic nature of the device, we present normal resistances () of junctions of length nm, nm, and nm with the fitted, constant contact resistance subtracted (Figure. 2(b) inset). The inset plot shows that the values of are independent of the junction length, demonstrating the ballistic nature of the devices.

To extract of the junction, we go to the discussion of vs. the temperature trends in Figure. 2(c). Here, the y-axis is plotted in logarithmic scale. From the slope of the curves for each gate, one can extract versus (plotted in Figure. 3a). Unlike for the case of monolayer graphene, a clear dependence on is seen (The observed trend further supports the view that our devices operate in the long ballistic regime. Diffusive Josephson junctions are governed by the Thouless energy 22, 24 which does not match the trend with respect to seen in Figure. 3(a) ). The energy scales linearly with the Fermi velocity (Figure. 3(b) ). Note that calculating from for junctions in the intermediate regime requires knowledge of the superconducting coherence length . In the fit discussed below, we use ’s dependence in .
We now compare the experimentally obtained (and ) to the theoretical expectation. With the dispersion relation for bilayer graphene written as : , we get the expression for the Fermi velocity : 25, 26, 27. Here, a parameter describing the interlayer coupling 25, is the momentum wavevector, is the effective mass of electrons. Moreover, the Fermi energy for bilayer graphene scales as: . The carrier concentration , controlled by the applied gate voltage , is given by with as the gate voltage at the Dirac point. The total capacitance is a combination of quantum capacitance and gate oxide capacitance : . The quantum capacitance for bilayer graphene is determined by , where is the electron charge. The gate oxide capacitance per unit area is , where is the vacuum permittivity, is the relative permittivity of the oxide, and is the thickness of the oxide layer. For silicon oxide gate with nm we get . Thus, the full expression for the Fermi velocity is:
(1) |
Note that the effective mass typically ranges from to for carriers/ 28, where is the electron rest mass. Experimental data provides us with the following: . We also note that has a dependence on and the superconducting gap : 13. To fit , the model is set as: where are the fitting parameters, and is the independent variable. (We use the as-designed length of the device , and take for .)
Parameter | Fitted Value | Expected Value |
---|---|---|
meV | meV | |
nm | nm | |
V | V |
The resulting fits of the data from the junction for and are plotted as solid lines in Figure. 3(a) and Figure. 3(b) respectively. Moreover, taking the fitted parameters from Table 1, we calculate the Fermi velocity for the available data points of all other junctions on the same substrate. As seen from Figure. 3(b), the calculated of all devices is in good agreement with the fit obtained from the nm junction (This is as expected for devices on the same substrate; as long as they have consistent parasitic doping and superconductor-graphene contact interface). The fitted parameters are summarized in Table 1. All fall within the range of expected values, with being consistent with previously measured values for graphene/MoRe junctions2. Furthermore, using the values obtained from the model, we find that saturates to the value of m/s as tends to infinity.

In conclusion, we study the evolution of the critical current with respect to the gate in bilayer graphene Josephson Junctions (BGJJs). Using the critical current-temperature relation expected for intermediate-to-long junctions, we extract the relevant energy scale and find that it has a clear gate dependence. As is proportional to the Fermi velocity in bilayer graphene, we are able to match the observed gate dependence to the theoretical expectation. Our observation is contrasted with monolayer graphene JJs, which do not have a gate-dependent . This result showcases the greater tunability of BGJJs, and offers additional avenues for device characterization. Although not observed here, it should be possible to engineer Josephson junctions that transition from the short to the intermediate/long ballistic regimes in-situ via gate voltage. The ability to tune ABS level spacing could have applications in self-calibrating sensors, or for matching resonance conditions in multi-terminal superconducting devices.
L.R. acknowledges support from NSF (DMR-2005092 award) for contact depositon. G.F. acknowledges support from Duke University. I.V.B. and A.S. acknowledge the support from Texas AM University.
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