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[1,2]\fnmAlina \surMreńca-Kolasińska

[2,3]\fnmSzu-Chao \surChen

[2]\fnmMing-Hao \surLiu

1]\orgnameAGH University, \orgdivFaculty of Physics and Applied Computer Science, \orgaddress\streetal. Mickiewicza 30, \postcode30-059 \cityKraków, \countryPoland

2]\orgdivDepartment of Physics, \orgnameNational Cheng Kung University, \orgaddress\cityTainan \postcode70101, \countryTaiwan

3]\orgdivDepartment of Electro-Optical Engineering, \orgnameNational Formosa University, \orgaddress\cityYunlin, \countryTaiwan

Probing miniband structure and Hofstadter butterfly in gated graphene superlattices via magnetotransport

Abstract

The presence of periodic modulation in graphene leads to a reconstruction of the band structure and formation of minibands. In an external uniform magnetic field, a fractal energy spectrum called Hofstadter butterfly is formed. Particularly interesting in this regard are superlattices with tunable modulation strength, such as electrostatically induced ones in graphene. We perform quantum transport modeling in gate-induced square two-dimensional superlattice in graphene and investigate the relation to the details of the band structure. At low magnetic field the dynamics of carriers reflects the semi-classical orbits which depend on the mini band structure. We theoretically model transverse magnetic focusing, a ballistic transport technique by means of which we investigate the minibands, their extent and carrier type. We find a good agreement between the focusing spectra and the mini band structures obtained from the continuum model, proving usefulness of this technique. At high magnetic field the calculated four-probe resistance fit the Hofstadter butterfly spectrum obtained for our superlattice. Our quantum transport modeling provides an insight into the mini band structures, and can be applied to other superlattice geometries.

Introduction

Graphene, a 2D material characterized by a linear low-energy dispersion relation, hosts charge carriers named Dirac fermions due to the resemblance of relativistic (massless) particles described by the Dirac equation. Modifying the underlying graphene lattice by a smooth periodic potential can affect the band structure through folding of the pristine graphene Dirac cone into mini bands Wallbank2013 , formation of the secondary Dirac points, and anisotropic renormalization of velocity Park2008 ; Park2008prb ; Brey2009 ; Barbier2010 ; Kang2020 . Periodic modulation has been obtained in graphene through chemical functionalization Sun2011 , placing graphene on self-assembled nanostructures Zhang2018 , and by stacking graphene together with aligned or slightly misoriented hexagonal boron nitride (hBN), resulting in periodic moiré modulation which generates hexagonal superlattices (SLs) Xue2011 ; Decker2011 ; Yankowitz2012 ; Ponomarenko2013 ; Hunt2013 ; Dean2013 ; Yu2014 . Moiré SLs were also created in low-angle twisted graphene bilayers , followed by van der Waals structures made up of few layers of graphene Burg2019 ; Shen2020 ; Liu2020 ; Lin2020 ; deVries2020 ; Rickhaus2021 and other 2D materials WangLujun2019 ; WangZihao2019 . SLs are suitable for the observation of the self-similar energy spectrum called Hofstadter butterfly Dean2013 ; Hunt2013 and Brown-Zak oscillations Kumar2017 ; Barrier2020 that occur when the magnetic flux through the superlattice unit cell is of the order of the magnetic flux quantum, ϕ0=h/e\phi_{0}=h/e, and in pristine 2D crystals require unattainable magnetic fields. Also worth mentioning are the many-body phenomena present in moiré SLs Wang2015 ; Andrews2020 .

Refer to caption
Figure 1: Zero magnetic field characterization of the superlattice. (a) Sketch of the gated superlattice system. The backgate (dark gray) lays below the patterned substrate (light gray), which induces modulated potential in graphene sandwiched between two hBN layers (blue). The global top gate is shown in yellow. (b) The backgate capacitance profile with the periodicity λ=35\lambda=35 nm in the units of 1012cm2V110^{12}\ \mathrm{cm}^{-2}\mathrm{V}^{-1}. (c) Longitudinal resistance RxxR_{xx} as a function of the backgate and top gate voltages in a four-terminal device shown in the right inset. Left inset: zoom of RxxR_{xx} in the boxed region. (d) RxxR_{xx} line cuts as marked with the respective line colors in (c).

Despite their potential, artificial lattices tailored by chemical methods or moiré SLs suffer from inability to tune the strength of the periodic potential. In moiré SLs the period can be tuned to some extent via the rotation angle between the stacked layers, but they are inherent of a hexagonal symmetry. Precise control over the SL geometry, period, and strength is vital for the band structure engineering. The above limitations can be circumvented in electrostatic gate-induced SLs that allow an arbitrary design via the gates geometry, with the gate voltage being a knob for the potential strength. The experimental attempts to create gated SLs in graphene included 1D arrays of metal gates Dubey2013 ; Drienovsky2014 ; Kuiri2018 , followed by patterned dielectric substrates Forsythe2018 ; Li2021 , and few-layer graphene patterned bottom gates for 1D Drienovsky2018 ; Ruiz2022 and 2D SLs Huber2020 ; Huber2022 with down to sub-20 nm periods Ruiz2022 manifesting the flexibility of this approach. With the recent advance in the fabrication techniques, gated SLs with the period of a few tens of nanometers are achievable with good device quality and long electron mean free path Li2021 . This enabled observation of commensurability oscillations Drienovsky2018 ; Li2021 ; Huber2022 , Hofstadter butterfly Huber2020 ; Ruiz2022 and Brown-Zak oscillations Huber2022 at magnetic fields of the order of a few tesla. This is more affordable compared to about 25 T required for graphene/hBN SL, where, due to small lattice constant mismatch of 1.8%, the SL period can reach up to 14 nm for aligned lattices.

While transport in quantizing magnetic field in gated SLs has been thoroughly studied, the intermediate magnetic field regime remained mostly unexplored. In the semiclassical treatment, at low magnetic field fermions undergo cyclotron motion that can be probed in transport measurements via transverse magnetic focusing (TMF). This technique has been used to experimentally probe the band structure in pristine mono-, bi-, and tri-layer graphene Taychatanapat2013 , graphene/WSe2 heterostructures Rao2023 , and moiré superlattices Lee2016 ; Berdyugin2020 , and theoretically considered in graphene pnpn junctions Milovanovic2014 ; Chen2016 and 1D gated SLs Kang2020 .

In this work, we perform a theoretical study of the TMF in 2D gate-induced square SLs, and analyze the relation between the observed TMF spectra and the miniband structure. This is complemented by the investigation of magnetotransport in the quantum Hall regime, where we observe signatures of Hofstadter butterfly, matching the numerical Hofstadter spectrum calculated for our gated SL. Our study is performed using quantum transport calculations for multiterminal structures, considering realistic experimental conditions. To model a realistic geometry, we consider SL induced by a patterned dielectric substrate Forsythe2018 ; Li2021 with a uniform global backgate underneath the dielectric layer, and the graphene sheet sandwiched between two hBN layers lying on top [Figure 1(a)]. The hBN/graphene/hBN sandwich is covered by a global top gate. The voltage applied to the back gate VbgV_{\mathrm{bg}} controls the strength of the periodic modulation, while the top gate voltage VtgV_{\mathrm{tg}} is used to tune the carrier density across the SL. We follow the design of Ref. Forsythe2018 , with a square lattice etched in SiO2 substrate, with a lattice period λ=35\lambda=35 nm [Figure 1(b)]. For the ease of the calculation, we use a model function Cbg(x,y)C_{\mathrm{bg}}(x,y) [see Figure 1(b)] that approximates the electrostatically simulated capacitance, obtained previously by some of us Chen2020 . Previous studies Kraft2020 ; Huber2020 and modeling of previous experiment on magnetic focusing in monolayer graphene Taychatanapat2013 show good agreement between experiment and simulation for graphene superlattice devices (see Methods), and the present purely theoretical work can be regarded as a guide for further experimental magneto-transport studies.

Results

No external magnetic field

We first simulate the four-point longitudinal resistance RxxR_{xx}. We consider a four terminal device shown in the right inset of Figure 1(c), where the system length L=1152L=1152 nm, width W=385W=385 nm, and the top lead width w=245w=245 nm. With the four leads labeled in the right inset of Figure 1(c), we calculate Rxx=R14,23R_{xx}=R_{14,23} (for details see Methods) and show its dependence on the top and back gate voltages in the main panel of Figure 1(c). As can be seen from the map, the strength of the backgate mostly influences the superlattice modulation.

Figure 1(d) presents the linecuts of RxxR_{xx} marked in Figure 1(c) with the respective colors. Whereas at Vbg0V_{\mathrm{bg}}\approx 0 only a single Dirac peak is visible, for increasing |Vbg||V_{\mathrm{bg}}| second and higher order satellite Dirac peaks start to appear, as the periodic modulation gets stronger. At Vbg=±40V_{\mathrm{bg}}=\pm 40 V [linecuts in Figure 1(d)], a few higher-order Dirac points are resolved. On the other hand, changing the top gate voltage mostly tunes the carrier density in the device. The left inset of Figure 1(c) shows a close-up of the boxed region with 30VVbg4530\ \mathrm{V}\leq V_{\mathrm{bg}}\leq 45 V and 3.5VVtg1.6-3.5\ \mathrm{V}\leq V_{\mathrm{tg}}\leq-1.6 V, where two sharp lines are visible at both sides of the main Dirac peak, corresponding to the secondary Dirac points, and several fainter lines, corresponding to higher order Dirac points. Similar results based on the same capacitance model function have been reported in Chen2020 , where two-terminal transport simulations were performed. The character of the bands can be verified in magnetotransport, as shown in the following subsections.

Low magnetic field

For a general band dispersion ϵ(𝐤)\epsilon(\mathbf{k}), the semiclassical equations of motion for an electron are given by Ashcroft1976

𝐫˙\displaystyle\mathbf{\dot{r}} =1𝐤ϵ(𝐤),\displaystyle=\frac{1}{\hbar}\nabla_{\mathbf{k}}\epsilon(\mathbf{k}), (1)
𝐤˙\displaystyle\hbar\mathbf{\dot{k}} =e(𝐄+𝐫˙×𝐁),\displaystyle=-e(\mathbf{E}+\mathbf{\dot{r}}\times\mathbf{B}), (2)

where e-e is the electron charge, 𝐄\mathbf{E} is the external electric field, and 𝐁\mathbf{B} the magnetic field. In the presence of constant out-of-plane magnetic field 𝐁=(0,0,B)\mathbf{B}=(0,0,B) only, one can obtain the relation between the shape of the Fermi contour in the momentum space Δ𝐤(t)\Delta\mathbf{k}(t) and the carrier trajectory in real space Δ𝐫(t)\Delta\mathbf{r}(t) Ashcroft1976

Δ𝐫(t)=eBΔ𝐤(t)×z^,\displaystyle\Delta\mathbf{r}(t)=\frac{\hbar}{eB}\Delta\mathbf{k}(t)\times\hat{z}, (3)

meaning that the cyclotron orbit is obtained by rotating the orbit in the momentum space by 9090^{\circ} clockwise, as illustrated in Figure 2(b)–Figure 2(c). Carriers encircle closed orbits of electron type or hole type in the counterclockwise or clockwise direction, respectively, as determined via the group velocity, 𝐯=𝐤ϵ(𝐤)/\mathbf{v}=\nabla_{\mathbf{k}}\epsilon(\mathbf{k})/\hbar, and the equation 𝐤˙=eB𝐯×z^\hbar\mathbf{\dot{k}}=-eB\mathbf{v}\times\hat{z}. In pristine graphene at low energy, cyclotron orbits exhibit a circular shape [Figure 2(b)], but the bands formed in systems with SL modulation can be highly distorted from the original, conical shape, and thus, noncircular Fermi contours can be observed [e.g. Figure 2(c)].

Refer to caption
Figure 2: The TMF schematics. (a) Sketch of the geometry considered for magnetic focusing. (b)–(c) Fermi contours in the reciprocal space for a circular (b) and noncircular (c) orbit, and the corresponding focused trajectories in real space.

In a typical device designed for transverse magnetic focusing measurement, an emitter and collector [in Figure 2(a) marked as 1 and 2, respectively] are located on the same edge at a center to center distance =d+w\ell=d+w, and other contacts act as absorbers. The current injected from an emitter flows along cyclotron orbits with a radius RcR_{\mathrm{c}} depending on the magnetic field strength, and at the boundary propagates along skipping orbits. The current can end up in the collector, when the diameter or its multiples match \ell [Figure 2(b)], or otherwise in absorber contacts. In the nonlocal resistance measurement [Figure 2(a)], this results in maximum or minimum, respectively, of the resistance Rf=R14,23R_{\mathrm{f}}=R_{14,23} (see Methods). For electron-like (hole-like) orbits, the resistance maximum condition can be obtained for positive (negative) BB.

In pristine graphene, a typical TMF spectrum as a function of magnetic field and voltage contains two fans of focusing peaks, one for the electron band and the other for the hole band Taychatanapat2013 . In a superlattice, the emerging replicas of the Dirac cone cause a substantial modification of the TMF signal. In the following discussion, we choose Vbg=40V_{\mathrm{bg}}=40 V, such that a few higher-order Dirac peaks are present next to the main Dirac point as seen in Figure 1(c).

Refer to caption
Figure 3: Magnetic focusing in the superlattice. (a) Nonlocal resistance RfR_{\mathrm{f}} as a function of magnetic field and top gate voltage at Vbg=40V_{\mathrm{bg}}=40 V. (b) RxxR_{xx} calculated for the same system at B=0B=0. (c)–(f) Top row: the miniband structures calculated at VtgV_{\mathrm{tg}} marked by the arrows in (a). In (f) C1C_{1}, C2C_{2}, and V1V_{1}V4V_{4} label selected minibands. Bottom row: the corresponding Fermi contours at E=0E=0. (g)–(k) The zoomed map in (a) at the rectangles marked with the corresponding colors. The dashed lines mark the focusing condition /2n=k/eB\ell/2n=\hbar k/eB, n=1,2,n=1,2,\dots.

For transverse magnetic focusing, we choose the system geometry shown in Figure 2(a), with the distance between the bottom leads d=1200d=1200 nm, their widths w=100w=100 nm, the side leads width W=1636W=1636 nm, and the top lead width L=1792L=1792 nm.

Figure 3(a) shows the RfR_{\mathrm{f}} map as a function of BB and VtgV_{\mathrm{tg}}. One can see several series of fans, with the focusing peaks appearing at B>0B>0 or B<0B<0. The map is put together with the RxxR_{xx} calculated at B=0B=0, shown in Figure 3(b), where the main and secondary Dirac peaks are seen. The sign change of the focusing peaks in Figure 3(a) occurs either at the Dirac points, or van Hove singularities, and for the former, it coincides with the RxxR_{xx} peaks. This confirms the sign change of the carriers when tuning VtgV_{\mathrm{tg}}, occurring as an effect of the band reconstruction due to the superlattice potential. To understand the result in detail, in Figure 3(c)–Figure 3(f) we plot the miniband structures calculated at B=0B=0, as described in Ref. Chen2020 , and the Fermi contours at E=0E=0, at selected values of VtgV_{\mathrm{tg}} marked by arrows in Figure 3(a). Additionally, in Figure 3(g)–Figure 3(k) we show zoomed regions of the RfR_{\mathrm{f}} map marked with the colored rectangles in Figure 3(a).

In Figure 3(c), at Vtg=2.75V_{\mathrm{tg}}=-2.75 V, the Fermi level is located at the C1C_{1} subband, and the Fermi contour has a rounded shape [Figure 2(b) and Figure 3(c)]. In the semiclassical description, electrons injected from lead 1 [Figure 2(a)] with an initial velocity 𝐯=(0,v)\mathbf{v}=(0,v) and 𝐤=(0,k)\mathbf{k}=(0,k), in a moderate magnetic field travel along a rounded trajectory, and after half a period, t=T/2t=T/2 encircle half of the closed orbit. From Eq. (3), this corresponds to traveling a distance equal to the diameter, 2Rc=2k/eB2R_{\mathrm{c}}=2\hbar k/eB along the xx direction [Figure 2(b)]. For =2Rc\ell=2R_{\mathrm{c}}, it leads to the first maximum of RfR_{\mathrm{f}}. For smaller RcR_{\mathrm{c}}, the beam is reflected at the edge, and can flow to the collector when =4Rc,6Rc,\ell=4R_{\mathrm{c}},6R_{\mathrm{c}},\dots, giving rise to higher order RfR_{\mathrm{f}} peaks. In general, we can evaluate the field at which the jjth maximum occurs as Bj=2jk/eB_{j}=2\hbar jk/e\ell, j=1,2,j=1,2,\dots. We find k(Vtg)k(V_{\mathrm{tg}}) numerically and plot BjB_{j} with dashed lines in Figure 3(g). The C1C_{1} subband cone is within 2.9VVtg2.5-2.9\ \mathrm{V}\lesssim V_{\mathrm{tg}}\lesssim-2.5 V. We find a very good agreement with the RfR_{\mathrm{f}} signal for up to j7j\approx 7. Higher jj are not resolved as the system enters the quantum Hall regime, and semiclassical description of the skipping orbits at the edge no longer applies. At 3.1VVtg2.9-3.1\ \mathrm{V}\lesssim V_{\mathrm{tg}}\lesssim-2.9 V, for the V1V_{1} subband, RfR_{\mathrm{f}} is noisy due to scattering of low-energy carriers by the periodic potential.

When the Fermi level is tuned to the van Hove singularity (at Vtg2.5V_{\mathrm{tg}}\approx-2.5 for the electron subband, and Vtg3.1V_{\mathrm{tg}}\approx-3.1 for the hole subband), the focusing signal vanishes, and smaller fans reappear. Based on the miniband structures [Figure 3(d)], we interpret them as due to focusing of the secondary Dirac cones fermions. For example, at Vtg=3.12V_{\mathrm{tg}}=-3.12 V [Figure 3(d)] at E=0E=0 there are tiny Dirac cones around the MM and XX points of the Brillouin zone.

For Vtg3.2V_{\mathrm{tg}}\lesssim-3.2 V and Vtg2.4V_{\mathrm{tg}}\gtrsim-2.4 V, the miniband structures around the Fermi level get more complex, with many overlapping subbands. Nevertheless, we find ranges of VtgV_{\mathrm{tg}} where a single isolated higher-order Dirac cone is present, giving clear focusing signal [see Figure 3(e) for the V2V_{2} subband, the corresponding RfR_{\mathrm{f}} zoom in Figure 3(h), and the zoom in Figure 3(i) for the C2C_{2} subband]. When there are more overlapping subbands, the signal gets very faint. Nevertheless, one can spot fans that fit well to the hole-like orbit within the V4V_{4} subband around the MM point, see Figure 3(f) at Vtg=3.85V_{\mathrm{tg}}=-3.85 V, and zoomed RfR_{\mathrm{f}} in Figure 3(j). A similar feature is resolved in Figure 3(k) for the electron-like orbits.

Refer to caption
Figure 4: Non-circular motion of Dirac fermions. Line cuts at VtgV_{\mathrm{tg}} and BB ranges as marked in Figure 3(g), Figure 3(h), and Figure 3(j) by the respective colors at (a) Vtg=2.75V_{\mathrm{tg}}=-2.75 V, (b) Vtg=3.3V_{\mathrm{tg}}=-3.3 V, and (c) Vtg=3.85V_{\mathrm{tg}}=-3.85 V. (d) – (i) are the current density maps in arbitrary units at BB marked in (a) – (c) by the respective symbols. The red dashed lines show the expected semi-classical trajectory.

To further illustrate the relation of the real-space orbits to the subbands, we calculate the current density maps at selected focusing peaks. Figure 4(a)–Figure 4(c) show the line cuts of RfR_{\mathrm{f}} at VtgV_{\mathrm{tg}} and BB marked by the respective colors in Figure 3(g), Figure 3(h) and Figure 3(j). In Figure 4(a) for the C1C_{1} subband, the first two focusing peaks are marked by \circ and \triangleleft. The respective current density maps are presented in Figure 4(d) and Figure 4(e), revealing typical current densities found for TMF calculations in pristine graphene Stegmann2015 ; Petrovic2017 . In Figure 4(b) the line cut for the V2V_{2} subband is shown. For the focusing peaks marked with \diamond and \triangledown, the current density maps are shown in Figure 4(f) and Figure 4(g). The trajectories acquire a shape close to a rectangle, consistent with the Fermi contour [Figure 3(e)]. For the line cut in the hole-like V4V_{4} subband (purple) [Figure 4(c)], the current densities of the first two peaks are shown in Figure 4(h) and Figure 4(i)]. The orbits acquire a rhombus shape, matching well the Fermi contour in the corner of the Brillouin zone [Figure 2(c) and Figure 3(f)]. The red dashed lines show semiclassical trajectories calculated using the Fermi contours obtained from our band structures and Equation 3 with the contour starting at 𝐤\mathbf{k} for which vxE/kx=0v_{x}\propto\partial E/\partial k_{x}=0. These semiclassical orbits show similarity with the current density, but the current density is obtained from quantum calculation so they are expected to be similar but not strictly identical, in particular, counter-intuitive patterns may occur at certain resonant conditions (e.g. a vertical blob on top of the rhombus-like pattern in Figure 4(h)). Note that in Figure 4(f)–Figure 4(g) the current density is non-zero in the area between the vertical segments, as it contains contributions from multiple initial kxk_{x} for which vxv_{x} is low. The noisy background visible in Figure 4(a)–Figure 4(c) originates from scattering and resonant states due to SL which are irregular and complex due to the wave-like nature of the carriers.

Refer to caption
Figure 5: High-field transport. (a) The 5-terminal system used for the calculation. (b) and (c) are GH=Rxy1G_{\mathrm{H}}=R_{xy}^{-1} as a function of average carrier density n¯\bar{n} and magnetic field BB with VbgV_{\mathrm{bg}} fixed at 0 and 40V40\mathord{\thinspace\rm V}, respectively, where horizontal lines at B=2TB=2\mathord{\thinspace\rm T} and B=0.2TB=0.2\mathord{\thinspace\rm T} mark the line cuts shown in (d) for GHG_{\mathrm{H}} and (e) for RxyR_{xy}. (f) Longitudinal resistance RxxR_{xx} as a function of n¯\bar{n} and BB. (g) Calculated Hofstadter spectrum corresponding to (c) and (f).

Although the focusing spectrum is not symmetric with respect to the main Dirac point, it is qualitatively similar in minibands above and below the main Dirac point, except for the noisy signal for low-energy valence subbands. Let us note that the modulation induced by electrostatic gates is a complex function of VbgV_{\mathrm{bg}} and VtgV_{\mathrm{tg}}, and the band structure is significantly modified merely by changing VtgV_{\mathrm{tg}} [Figure 3(c)–Figure 3(f)]. This is in contrast to the SLs induced via low-angle twisted hBN substrate or twisted graphene layers, where the top gate only sweeps the carrier density without affecting the periodic modulation, and the band structure remains unchanged. This leads to the shape of the fans in RfR_{\mathrm{f}} closer to straight lines, unlike Refs. Lee2016 ; Berdyugin2020 that observed ones close to parabolic.

High magnetic field

Now, we turn our attention to the high-field regime, where we expect the Hofstadter spectrum to emerge when the magnetic flux per SL unit cell of area AA, ϕ=AB\phi=AB, is of the order of the flux quantum ϕ0=h/e\phi_{0}=h/e. To simulate longitudinal resistance RxxR_{xx} and Hall resistance RxyR_{xy} at the same time, while keeping calculations for the four-point resistances minimized, we consider a 5-terminal Hall bar sketched in Figure 5(a) with the actually considered geometric dimensions shown. We compute all the 5×4=205\times 4=20 transmission functions between all pairs among the five leads, and process the data to obtain longitudinal resistance Rxx=R14,23R_{xx}=R_{14,23} and Hall resistance Rxy=R14,52R_{xy}=R_{14,52} following the Büttiker formalism Buttiker1986 ; Datta1995 , according to the lead labels shown in Figure 5(a). For all the following discussions, we convert our VtgV_{\mathrm{tg}} axis to the numerically obtained average carrier density n¯\bar{n} over the entire lattice, in order for a more transparent presentation of our high-field transport simulations.

Figure 5(b) and Figure 5(c) show the Hall conductance GH=Rxy1G_{\mathrm{H}}=R_{xy}^{-1} as a function of n¯\bar{n} and magnetic field BB, with the back gate voltage fixed at Vbg=0V_{\mathrm{bg}}=0 and Vbg=40VV_{\mathrm{bg}}=40\mathord{\thinspace\rm V}, respectively. To better highlight the Landau fans arising from the quantum Hall effect of graphene, we limit the color range to 40GH/G0+40-40\leq G_{\mathrm{H}}/G_{0}\leq+40 in Figure 5(b), where G0=e2/hG_{0}=e^{2}/h is the conductance quantum. The same limit of the color range is applied to Figure 5(c) in order for a direct comparison. Line cuts at B=2TB=2\mathord{\thinspace\rm T} marked by the black line on Figure 5(b) and orange line on Figure 5(c) are shown and compared in Figure 5(d). The lowest few quantum Hall conductance plateaus GH=±2G0,±6G0,±10G0,G_{\mathrm{H}}=\pm 2G_{0},\pm 6G_{0},\pm 10G_{0},\cdots can be clearly seen in the Vbg=0V_{\mathrm{bg}}=0 case free of superlattice potential (black line), while the combined strong magnetic field (B=2TB=2\mathord{\thinspace\rm T}) and strong superlattice modulation (Vbg=40VV_{\mathrm{bg}}=40\mathord{\thinspace\rm V}) result in a more complex transport feature, in accordance with the predictions Thouless1982 ; Streda1982 for a periodic 2D modulation, which can be better understood by checking RxxR_{xx}, instead of RxyR_{xy} (or GHG_{\mathrm{H}}), to be discussed soon below.

Without taking the inverse of RxyR_{xy}, Figure 5(e) shows the Hall resistance at B=0.2TB=0.2\mathord{\thinspace\rm T} with Vbg=0V_{\mathrm{bg}}=0 [red, corresponding to the n¯\bar{n} range marked on Figure 5(b)] and Vbg=40VV_{\mathrm{bg}}=40\mathord{\thinspace\rm V} [cyan, corresponding to the n¯\bar{n} range marked on Figure 5(c)]. The former (without superlattice) shows a single sign change at n¯=0\bar{n}=0, typical for graphene, while the latter (with superlattice) shows multiple sign changes at positive and negative n¯\bar{n}, in addition to the main Dirac point at n¯=0\bar{n}=0, consistent with our previous low-field magnetotransport simulations discussed above.

Considering the same range of n¯\bar{n} and BB as Figure 5(b) and Figure 5(c), Figure 5(f) shows the longitudinal resistance RxxR_{xx} with the back gate voltage fixed at Vbg=40VV_{\mathrm{bg}}=40\mathord{\thinspace\rm V}. Since the period of our gate-controlled superlattice is λ=35\lambda=35 nm, and hence the square SL unit cell area A=λ2=1225nm2A=\lambda^{2}=1225\mathord{\thinspace\rm nm^{2}}, the condition ϕ/ϕ0=AB/(h/e)=1\phi/\phi_{0}=AB/(h/e)=1 is reached at B3.376TB1B\approx 3.376\mathord{\thinspace\rm T}\equiv B_{1}, which is in sharp contrast with the graphene/hBN moiré superlattice that requires B24TB\approx 24\mathord{\thinspace\rm T} in order to reach ϕ/ϕ0=1\phi/\phi_{0}=1, because of its periodicity limited to λ14nm\lambda\lesssim 14\mathord{\thinspace\rm nm} and hence the area A=3λ2/2170nm2A=\sqrt{3}\lambda^{2}/2\lesssim 170\mathord{\thinspace\rm nm^{2}}. As is visible on Figure 5(f), the seemingly complicated RxxR_{xx} map does exhibit certain features at B1B_{1} and B1/2B_{1}/2, and vaguely at B1/3B_{1}/3 (marked by black triangles), corresponding to ϕ/ϕ0=1,1/2,1/3\phi/\phi_{0}=1,1/2,1/3, respectively, consistent with our calculation of the magnetic energy subbands shown in Figure 5(g), where the vertical axis of ϕ/ϕ0\phi/\phi_{0} corresponds to exactly the same BB range as Figure 5(f), as well as the average density range. Good consistency between the RxxR_{xx} map of Figure 5(f) and the Hofstadter butterfly shown in Figure 5(g) can be seen. For methods adopted to calculate Figure 5(g), see Methods.

Discussion

In summary, we theoretically investigated transport in gated superlattices based on monolayer graphene. Our zero and low magnetic field transport calculations remain in a good agreement with the continuum model band structure calculated in presence of periodic modulation. We explored the potential of TMF for probing the intricate band structure of graphene with periodic modulation. It offers possibilities to study a plethora of phenomena in superlattices, and opens the door for studies of strongly correlated systems in twisted bilayer graphene deVries2021 or in bilayer graphene superlattices Krix2022 . By exploring the reconstructed band structure via magnetotransport calculations it is possible to engineer devices relying on directed electron flow due to the distortion of Fermi contour, as well as for other applications based on mini band electron optics. We also obtained high-magnetic-field response consistent with the Hofstadter spectrum calculated for a gated superlattice as a function of the gate voltage. Our modeling can be generalized to other superlattice geometries, and is promising for the investigations of future band structure engineered devices working in a broad range of magnetic fields.

Methods

Gated superlattice model

To model a realistic geometry, we consider SL induced by a patterned dielectric substrate Forsythe2018 ; Li2021 with a uniform global backgate underneath the dielectric layer, and the graphene sheet sandwiched between two hBN layers lying on top [Figure 1(a) of the main text]. The hBN/graphene/hBN sandwich is covered by a global top gate. The voltage applied to the back gate VbgV_{\mathrm{bg}} controls the strength of the periodic modulation, while the top gate voltage VtgV_{\mathrm{tg}} is used to tune the carrier density across the SL. We follow the design of Ref. Forsythe2018 , with a square lattice etched in SiO2 substrate, with a lattice period λ=35\lambda=35 nm. We use a model function Cbg(x,y)C_{\mathrm{bg}}(x,y)

Cd(x,y)\displaystyle C_{\mathrm{d}}(x,y) =Cout(CoutCin)tanh[exp(x2+y2dsmooth2)],\displaystyle=C_{\mathrm{out}}-(C_{\mathrm{out}}-C_{\mathrm{in}})\tanh\left[\exp\left(-\frac{x^{2}+y^{2}}{d_{\mathrm{smooth}}^{2}}\right)\right], (4)
Cbg(x,y)\displaystyle C_{\mathrm{bg}}(x,y) =Cd[(xλ2)%λλ2,(yλ2)%λλ2],\displaystyle=C_{\mathrm{d}}\left[\left(x-\frac{\lambda}{2}\right)\%\lambda-\frac{\lambda}{2},\left(y-\frac{\lambda}{2}\right)\%\lambda-\frac{\lambda}{2}\right], (5)

where dsmooth=7.5d_{\mathrm{smooth}}=7.5 nm is the smoothness of the modulation, Cout/e=0.77×1011cm2V1C_{\mathrm{out}}/e=0.77\times 10^{11}\ \mathrm{cm}^{-2}\mathrm{V}^{-1} and Cin/e=0.22×1011cm2V1C_{\mathrm{in}}/e=0.22\times 10^{11}\ \mathrm{cm}^{-2}\mathrm{V}^{-1} , and a%ba\%b means the remainder after dividing aa by bb. The top gate capacitance is assumed to be Ctg/e=1×1012cm2V1C_{\mathrm{tg}}/e=1\times 10^{12}\ \mathrm{cm}^{-2}\mathrm{V}^{-1}. Using the parallel capacitor model, this roughly corresponds to the top hBN thickness dt16.6d_{\mathrm{t}}\approx 16.6 nm, from Ctg/e=ε0εhBN/edtC_{\mathrm{tg}}/e=\varepsilon_{0}\varepsilon_{\mathrm{hBN}}/ed_{\mathrm{t}}, where ε0\varepsilon_{0} is the vacuum permittivity, εhBN=3\varepsilon_{\mathrm{hBN}}=3 is the dielectric constant of hBN, and e-e is the electron charge. Figure 1(b) of the main text shows the profile of the above model function (5).

For the dual-gated graphene sample free from intrinsic doping, the carrier density is given by

n(x,y)=Cbg(x,y)eVbg+CtgeVtg.n(x,y)=\frac{C_{\mathrm{bg}}(x,y)}{e}V_{\mathrm{bg}}+\frac{C_{\mathrm{tg}}}{e}V_{\mathrm{tg}}. (6)

Assuming that the carrier energy in graphene is given by E=±vFkE=\pm\hbar v_{\mathrm{F}}k, where \hbar is the reduced Planck constant, vF106m/sv_{\mathrm{F}}\approx 10^{6}\mathord{\thinspace\rm m/s} is the Fermi velocity of graphene, and using vF33/8eVnm\hbar v_{\mathrm{F}}\approx 3\sqrt{3}/8\ \mathord{\thinspace\rm eVnm}, the onsite potential energy can be obtained from

U=sgn(n)vFπ|n|,U=-\text{sgn}(n)\hbar v_{\mathrm{F}}\sqrt{\uppi|n|}, (7)

in order to set the global Fermi energy at E=0E=0 where transport occurs.

Transport calculation

For transport calculation, we use the tight-binding Hamiltonian

H=i,jtijcicj+jU(𝐫j)cjcj,H=-\sum\limits_{\left\langle{i,j}\right\rangle}t_{ij}c_{i}^{\dagger}c_{j}+\sum\limits_{j}{U({\mathbf{r}}_{j})}c_{j}^{\dagger}c_{j}, (8)

where cic_{i} (cic_{i}^{\dagger}) is an annihilation (creation) operator of an electron on site ii located at 𝐫i=(xi,yi)\mathbf{r}_{i}=(x_{i},y_{i}). The first sum contains the nearest-neighbor hoppings with the hopping parameter tijt_{ij}, and the second sum describes the onsite potential energy profile. In the presence of an external magnetic field 𝐁=(0,0,B)\mathbf{B}=(0,0,B), the hopping integral is modified by tijtijexp(iϕ)t_{ij}\rightarrow t_{ij}\exp(i\phi), where the Peierls phase ϕ=(e/)rirjA𝑑r\phi=(-e/\hbar)\int_{\textbf{r}_{i}}^{\textbf{r}_{j}}\textbf{A}\cdot d\textbf{r}, with A being the vector potential that satisfies ×𝐀=𝐁\nabla\times\mathbf{A}=\mathbf{B}, and the integral going from the site at ri\textbf{r}_{i} to the site at rj\textbf{r}_{j}. For a feasible simulation of realistic devices, we use the scalable tight-binding model Liu2015 , where the hopping parameter becomes tij=t0/sft_{ij}=t_{0}/s_{\mathrm{f}}, and the lattice spacing a=a0sfa=a_{0}s_{\mathrm{f}}, sfs_{\mathrm{f}} is the scaling factor, and we use t0=3t_{0}=-3 eV and a0=1/43a_{0}=1/4\sqrt{3} nm. Transport calculations based on Hamiltonian (8) are done within the wave-function matching for the TMF, and real-space Green’s function method in other cases, at the global Fermi energy E=0E=0 and zero temperature. The conductance from lead ii to lead jj is obtained from the Landauer formula Gji=2(e2/h)TjiG_{ji}=2(e^{2}/h)T_{ji}, where the transmission probability TjiT_{ji} is evaluated as a sum over the propagating modes Tji=qTjiqT_{ji}=\sum\limits_{q}T_{ji}^{q}, and

Tjiq=p|tijpq|.T_{ji}^{q}=\sum\limits_{p}|t_{ij}^{pq}|. (9)

Here, tijpqt_{ij}^{pq} is the probability amplitude for the transfer from the incoming mode pp in lead ii to the outgoing mode qq in lead jj.

In the multiterminal devices, we solve the transport problem for each lead as an input, and build the conductance matrix 𝒢\mathbfcal{G} Buttiker1986 ; Datta1995 which relates the current IiI_{i} fed to the system in lead ii to the voltage at jj-th lead VjV_{j} through Ii=j=1N𝒢ijVjI_{i}=\sum_{j=1}^{N}\mathcal{G}_{ij}V_{j}. For an NN-terminal system, the matrix elements are

𝒢ij\displaystyle\mathcal{G}_{ij} =Gij,ij,\displaystyle=-G_{ij},\ \quad i\neq j, (10)
𝒢ii\displaystyle\mathcal{G}_{ii} =j=1,jiNGij.\displaystyle=\sum\limits_{j=1,j\neq i}^{N}G_{ij}. (11)

We set the voltage at ll-th lead equal to zero, and eliminate the ll-th row and column of the matrix. The reduced (N1)×(N1)(N-1)\times(N-1) matrix 𝒢¯\bar{\mathbfcal{G}} can be inverted to get =𝒢¯1\boldsymbol{\mathbfcal{R}}=\bar{\mathbfcal{G}}^{-1}, where the \mathbfcal{R} matrix satisfies

Vi=j=1,jlNijIj.V_{i}=\sum_{j=1,j\neq l}^{N}\mathcal{R}_{ij}I_{j}. (12)

With the elements of matrix \boldsymbol{\mathbfcal{R}}, one can evaluate the resistance

Rkl,mn=VmVnIk=mknkR_{kl,mn}=\frac{V_{m}-V_{n}}{I_{k}}=\mathcal{R}_{mk}-\mathcal{R}_{nk} (13)

with the current flowing from lead kk to lead ll, zero current in other terminals, and voltage drop measured between leads mm and nn.

Refer to caption
Figure 6: Revisiting the TMF experiment on graphene. (a) Computed four-point resistance R61,54R_{61,54} as a function of magnetic field BB and carrier density nn revisiting the TMF experiment on graphene Taychatanapat2013 , and two exemplary transmission functions required for R61,54R_{61,54}: (b) T23T_{23} and (c) T41T_{41}. The inset in (a) shows the orientation of the considered Hall bar and the configuration of the leads for ground, injector, and voltage probes.

Transverse magnetic focusing

As a numerical example of applying the above outlined Landauer-Büttiker formalism for computing the four-point resistance Eq. (13), we revisit the first TMF experiment on graphene Taychatanapat2013 , considering the same probe spacing (=500\ell=500 nm) and width (100100 nm) but slightly different geometry of the scattering region (total length 700700 nm and width 500500 nm) for a 6-terminal Hall bar, made of a graphene lattice scaled by sf=12s_{\mathrm{f}}=12. Choosing the same configuration of the leads for injector, ground, and voltage probes as the revisited experiment, the computed R61,54R_{61,54} as a function of the external magnetic field BB perpendicular to the plane of graphene and the carrier density nn is reported in Figure 6(a), showing a map rather consistent with the experiment. Due to the isotropic low-energy dispersion of graphene, the resulting cyclotron trajector is a simple circle of radius Rc=k/eBR_{\mathrm{c}}=\hbar k/eB, which is simplified from Eq. (3). By requiring the probe spacing to be equal to an integer times the cyclotron diameter, =j2Rc\ell=j\cdot 2R_{\mathrm{c}}, j=1,2,j=1,2,\cdots, together with k=π|n|k=\sqrt{\uppi|n|} for graphene, one can solve for carrier density corresponding to the jjth peak of the TMF on the BB-nn map of Figure 6(a):

nj(B)=1π(eB2j)2.n_{j}(B)=\frac{1}{\uppi}\left(\frac{eB\ell}{2\hbar j}\right)^{2}\ . (14)

The dashed lines on Figure 6(a) show n1,n2,n3,n4n_{1},n_{2},n_{3},n_{4}, matching very well with the patterns of the simulated R61,54R_{61,54}, which requires totally 6×5=306\times 5=30 transmission functions for such a 6-terminal device, as explained above. Figures 6(b) and (c) show two exemplary maps of transmission functions, which can look generally very different from the resulting four-point resistance.

Choosing the gauge

In the presence of an external magnetic field and semi-infinite leads, the vector potential must satisfy the translational invariance of the leads. For the magnetic field along the z^\hat{z} axis, the most common choice is the Landau gauge, 𝐀=(yB,0,0)\mathbf{A}=(-yB,0,0) or 𝐀=(0,xB,0)\mathbf{A}=(0,xB,0) for the lead which is translationally invariant along the xx or yy direction, respectively. For other lead orientation, in general, the proper gauge is different. Therefore, in a multi-terminal device, the required vector potential is not uniform in the entire space. This is not a problem since adding an arbitrary curl-free component to the vector potential does not change the magnetic field. Here, we use the approach introduced in Baranger1989 .

Assuming that the proper gauge in the 1st lead is 𝐀1(𝐫)\mathbf{A}_{1}(\mathbf{r}), for another lead that is at an angle θn\theta_{n} with respect to lead 1, the gauge can be chosen as

𝐀n(𝐫)=𝐀1(𝐫)+fn(𝐫),\mathbf{A}_{n}(\mathbf{r})=\mathbf{A}_{1}(\mathbf{r})+\boldsymbol{\nabla}f_{n}(\mathbf{r}), (15)

with

fn(𝐫)=Bxysin2(θn)+14B(x2y2)sin(2θn).f_{n}(\mathbf{r})=Bxy\sin^{2}(\theta_{n})+\frac{1}{4}B(x^{2}-y^{2})\sin(2\theta_{n}). (16)

The addition of a gradient of a scalar function does not influence the requirement ×𝐀=𝐁\nabla\times\mathbf{A}=\mathbf{B}. As an illustration of the transformation, consider 𝐀1(𝐫)=(yB,0,0)\mathbf{A}_{1}(\mathbf{r})=(-yB,0,0), and θn=90\theta_{n}=90^{\circ}. Then, fn(𝐫)=Bxyf_{n}(\mathbf{r})=Bxy, fn(𝐫)=(By,Bx,0)\nabla f_{n}(\mathbf{r})=(By,Bx,0), and 𝐀n(𝐫)=(yB,0,0)+(yB,xB,0)=(0,xB,0)\mathbf{A}_{n}(\mathbf{r})=(-yB,0,0)+(yB,xB,0)=(0,xB,0).

Applying the transformation (15) so that it only affects lead nn is possible by defining a smooth step function ζn(𝐫)\zeta_{n}(\mathbf{r}) which is only nonzero in the translationally invariant part of lead nn

ζn(𝐫)={1,𝐫 in lead n,0,𝐫 in lead mn,smooth interpolation𝐫 elsewhere.\zeta_{n}(\mathbf{r})=\begin{cases}1,&\mathbf{r}\text{ in lead }n,\\ 0,&\mathbf{r}\text{ in lead }m\neq n,\\ \text{smooth interpolation}&\mathbf{r}\text{ elsewhere}.\end{cases} (17)

Then, in (15) we substitute fn(𝐫)ζn(𝐫)fn(𝐫)f_{n}(\mathbf{r})\rightarrow\zeta_{n}(\mathbf{r})f_{n}(\mathbf{r}) for lead nn. In general, for the entire system we define

f(𝐫)=n=2Nζn(𝐫)fn(𝐫),f(\mathbf{r})=\sum\limits_{n=2}^{N}\zeta_{n}(\mathbf{r})f_{n}(\mathbf{r}), (18)

this completes our gauge transformation. Adopting the vector potential

𝐀(𝐫)=𝐀1(𝐫)+f(𝐫),\mathbf{A}(\mathbf{r})=\mathbf{A}_{1}(\mathbf{r})+\boldsymbol{\nabla}f(\mathbf{r}), (19)

we have 𝐁=×𝐀\mathbf{B}=\nabla\times\mathbf{A} everywhere in the system, and the translation invariance in each lead is guaranteed. Importantly, curl of (19) gives exactly the desired BB, regardless of the smoothness of the ζn\zeta_{n} function.

Refer to caption
Figure 7: Spatial profiles of the vector potential. (a) AxA_{x} and (b) AyA_{y} vector potential components used for the 5-terminal TMF simulation.

As an example, for the system used for the TMF modeling [Figure 2(a)], in the vertical leads we choose the same gauge A=(0,xB)\textbf{A}=(0,xB) with ζ(r)=(exp((yy1)/dstep)+1)1+(exp((y2y)/dstep)+1)1\zeta(\textbf{r})=(\exp(-(y-y_{1})/d_{\mathrm{step}})+1)^{-1}+(\exp(-(y_{2}-y)/d_{\mathrm{step}})+1)^{-1}, y1=1607y_{1}=1607 nm, y2=49y_{2}=-49 nm, and dstep=2d_{\mathrm{step}}=2 nm. In the rest of the system, A=(yB,0)\textbf{A}=(-yB,0) is used. The resulting AxA_{x} and AyA_{y} profiles are shown in Figure 7.

Hofstadter butterfly calculation

For the calculation of Hofstadter butterfly one has to consider a magnetic unit cell whose length is the least common multiple of the lattice periodicity and the periodicity introduced by the Peierls phase. For graphene, it contains more than hundreds of thousands of carbon atoms when the magnetic field strength is smaller than 1 T. However, the calculation is greatly simplified by considering a graphene ribbon. For an armchair ribbon with translational invariance along the xx direction and finite width along the yy direction, in the presence of a perpendicular magnetic field, dispersionless Landau levels appear near kx=0k_{x}=0, and the dispersive edge states show up at larger kxk_{x}. Calculating Ekx=0E_{k_{x}=0} as a function of magnetic field, we get the Hofstadter butterfly of graphene. Because of the finite width of the ribbon, the spectrum can also contain edge states. With the increase of BB the Landau levels elongate, and at some BB the edge states are pushed to kx=0k_{x}=0, which results in the appearance of the states in the gaps. To lower the computational burden, we use the scalable tight-binding model Liu2015 with sf8s_{\mathrm{f}}\sim 8 to calculate Ekx=0E_{k_{x}=0} as a function of magnetic field for an armchair ribbon with periodic length along the xx axis equal to the superlattice period (λ\lambda). Here, in order to ensure superlattice period equal to a multiple of 3a3a, sfs_{\mathrm{f}} is not an integer, and the ribbon width is larger than 20λ20\lambda to show the superlattice effect.

In transport, only the states at the Fermi level contribute to the conductance. Therefore, we calculate Hofstadter butterfly spectra for all VtgV_{\mathrm{tg}} values and collect the Fermi states to construct the gate-dependent Hofstadter butterfly spectrum to compare with RxxR_{xx} and GHG_{\mathrm{H}} obtained from the transport calculation. Note that the spectrum in Figure 5(g) contains energy levels that appear across the gaps, which are an artifact of the method due to the finite width of the ribbon. As mentioned above, they appear since at some value of BB the edge states are pushed to kx=0k_{x}=0.

\bmhead

Acknowledgments We thank National Science and Technology Council of Taiwan (grant numbers: MOST 109-2112-M-006-020-MY3 and NSTC 112-2112-M-006-019-MY3) for financial supports and National Center for High-performance Computing (NCHC) for providing computational and storage resources. This research was supported in part by PL-Grid Infrastructure, and by the program ,,Excellence Initiative – Research University” for the AGH University of Science and Technology.

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