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. 2026 Feb 4;650(8103):875–881. doi: 10.1038/s41586-025-10085-z

Imaging the sub-moiré potential using an atomic single electron transistor

Dahlia R Klein 1,#, Uri Zondiner 1,#, Amit Keren 1,2, John Birkbeck 1, Alon Inbar 1, Jiewen Xiao 1, Yuval Zamir 1, Mariia Sidorova 1,3, Mohammed M Al Ezzi 4,5, Liangtao Peng 6, Kenji Watanabe 7, Takashi Taniguchi 7, Shaffique Adam 4,6,8, Shahal Ilani 1,
PMCID: PMC12935533  PMID: 41639444

Abstract

Electrons in solids owe their properties to the periodic potential landscapes they experience. The advent of moiré lattices has revolutionized our ability to engineer such landscapes on nanometre scales, leading to numerous ground-breaking discoveries. Despite this progress, direct imaging of these electrostatic potential landscapes remains elusive. Here we introduce the atomic single electron transistor (SET), a new scanning probe that uses a single atomic defect in a van der Waals material as an ultrasensitive, high-resolution potential sensor. Built on the quantum twisting microscope (QTM) platform1, this probe leverages the capability of the QTM to form a pristine, scannable two-dimensional interface between vdW heterostructures. Using the atomic SET, we present the first direct images of the electrostatic potential in a canonical moiré interface: graphene aligned to hexagonal boron nitride210. The measured potential exhibits an approximate C6 symmetry, minimal dependence on carrier density and a substantial amplitude of approximately 60 mV, even in the absence of carriers. Theory indicates that this symmetry arises from a delicate interplay of physical mechanisms with competing symmetries. The measured amplitude significantly exceeds theoretical predictions, suggesting that current understanding may be incomplete. With 1 nm spatial resolution and sensitivity to detect the potential of even a few millionths of an electron charge, the atomic SET enables ultrasensitive imaging of charge order and thermodynamic properties across a wide range of quantum phenomena, including symmetry-broken phases, quantum crystals, vortex charges and fractionalized quasiparticles.

Subject terms: Electronic properties and materials, Electronic properties and devices, Imaging techniques


An atomic single electron transistor, which utilizes a single atomic defect in a van der Waals material as an ultrasensitive, high-resolution potential sensor, is used to image the electrostatic potential within a moiré unit cell.

Main

The behaviour of electrons in a lattice is governed by the periodic potential of the host material. In naturally occurring materials, this periodicity is determined by the atomic length scale, making it extremely challenging to directly image the local electrostatic potential. Over the past decade, moiré engineering has emerged as a powerful approach to create tunable periodic potentials at van der Waals (vdW) interfaces, achieving length scales substantially larger than those of atomic lattices. A canonical example is the interface between aligned graphene and hexagonal boron nitride (G/hBN), in which their lattice mismatch produces a moiré superlattice that alters the electronic properties through its periodic potential. This moiré interface has enabled numerous discoveries, including the observation of the Hofstadter butterfly35 and Brown–Zak oscillations11. More recently, when coupled with graphene multilayers, this aligned G/hBN interface has played a crucial role in stabilizing even more exotic phases, such as ferromagnetism in magic-angle twisted bilayer graphene12,13, unconventional ferroelectricity in bilayer graphene14,15 and the fractional quantum anomalous Hall effect (FQAHE) in rhombohedral pentalayer graphene16.

Despite its pivotal role, so far the G/hBN moiré potential has only been inferred indirectly from transport17,18 and optical19,20 measurements. Unlike in transition metal dichalcogenides (TMDs), whose band edges can serve as direct markers for potential variations21, mapping the moiré potential in a vdW interface such as G/hBN requires a new imaging technique that combines nanometre resolution with exceptional potential sensitivity. The most sensitive tool currently available for imaging electrostatic potentials is the scanning single electron transistor (SET)2225, which uses transport through a small island in the Coulomb blockade regime for detection. However, the spatial resolution of existing scanning SETs is constrained by their lithographic dimensions (>100 nm), preventing them from resolving potentials within a moiré unit cell. Although STM experiments with a graphene sensor layer26,27 have achieved intermediate spatial resolution, and recent advancements in AFM-based techniques have led to high-resolution imaging of molecules2830, direct visualization of moiré potentials within vdW heterostructures remains an unmet challenge.

In this work, we develop the atomic SET, a new scanning probe that uses a single atomic defect3136 as a scanning potential sensor, achieving 1 nm spatial resolution, two orders of magnitude better than existing SETs, and a potential sensitivity of 5 μV Hz−1/2. This remarkable sensitivity corresponds to detecting variations of a few parts per million of the potential produced by a single electron charge at the distance given by the spatial resolution (Supplementary Information section 17). Using this tool, we directly image the potential at the G/hBN moiré interface. Our measurements show that even at zero carrier density, the peak-to-peak potential amplitude is large (about 60 mV) and exhibits an approximate C6 symmetry around the moiré centre. Although this symmetry can be explained by a subtle interplay of competing mechanisms, the magnitude of the measured potential is about twice that predicted by existing theory, highlighting that our understanding of even this simple moiré interface remains incomplete.

Atomic defect sensing technique

The working principle of the scanning atomic SET is shown in Fig. 1a. A single atomic defect embedded in a thin TMD layer acts as a quantum dot, the energy level of which shifts with small changes to the local electrostatic potential ϕ(r). The system of interest is placed on the QTM tip, so scanning the tip across the stationary defect modulates the potential of the defect and, in turn, shifts its Coulomb blockade peak. By monitoring this shift, we directly image ϕ(r). This inverted geometry, in which the system of interest is on the tip, enables selecting an optimal defect from a large pool of natural defects within the flat TMD layer.

Fig. 1. Atomic SET measurement principle and imaging of atomic defects.

Fig. 1

a, Schematic of the atomic SET geometry: the system of interest (purple), positioned on a QTM tip, is scanned across a fixed atomic defect (yellow) embedded in an insulating barrier (blue) above a graphene electrode (grey). At low temperature, the defect functions as a quantum dot (QD) exhibiting single electron transport (white arrows). As the tip scans across this defect, the spatially varying electrostatic potential ϕ(r) of the system on tip gates the defect, and by monitoring its Coulomb blockade peak, we directly map this potential. b, Illustration of an experiment to image individual atomic defects in WSe2: a bias voltage (Vb) is applied to the bottom graphene electrode and the current (I) through the tip is measured while scanning. When the tip does not overlap a defect (off-defect), the current arises from momentum-conserving tunnelling processes. However, when the contact area of the tip (white dashed line) overlaps a defect (on-defect), an additional defect-assisted tunnelling pathway opens. c, Defect imaging experiment using a QTM tip comprising aligned G/hBN layers. As the tip is scanned across trilayer WSe2 on a graphene electrode at Vb = –0.7 V, the measured I map shows multiple replicas of the tip contact area, each produced by a different defect. Within each replica, the G/hBN moiré superlattice appears as periodic modulations of I and the sharp edges (arrows) demonstrate a spatial resolution of approximately 1 nm. d, Schematic energy diagrams (top) and corresponding current maps (bottom) measured with a different G/hBN tip at T = 0.2 K and at three biases: Vb = –1.25 V (left), –0.9 V (centre) and –0.35 V (right), all within the same scan window. The energy diagrams show the interface along the z-direction: a graphene source electrode (grey), defects (yellow and grey) in a bilayer WSe2 barrier (blue) and a G/hBN moiré drain electrode (purple). As |Vb| decreases, the range of transport-accessible defects (highlighted in yellow) is narrowed, resulting in fewer observed tip-shape replicas. At the lowest bias, only a single replica remains in the entire scan window. Scale bars, 50 nm (c); 400 nm (d).

To locate suitable defects, we map the tunnelling current (I) at a fixed bias voltage (Vb) while scanning the tip across the TMD layer (Fig. 1b). When the tip does not overlap a defect, the current reflects only background momentum-conserving elastic1 and inelastic (phonon-assisted)37 tunnelling. However, when it overlaps a defect, an additional tunnelling channel opens, allowing electrons to tunnel preferentially through the defect. This results in an increased I when the contact area of the tip (white dashed line) coincides with a defect.

Figure 1c shows a room-temperature measurement using a trilayer WSe2 barrier. The scan shows several oblong shapes of increased I, each corresponding to a separate atomic defect imaging the contact area of the tip. Their identical spatial structure and increase in I suggest that these defects have the same chemical origin. In this experiment, the QTM tip consists of aligned G/hBN, forming a moiré superlattice25 that the defect imaging remarkably resolves even at room temperature. This measurement demonstrates extremely high spatial resolution, apparent from the sharpness of the tip image edges (about 1 nm; Supplementary Information section 6). Although we might expect that transferring a moiré heterostructure onto the QTM tip would result in significant strain that would be magnified by the moiré superlattice38, this measurement (Fig. 3a) instead shows minimal moiré heterostrain, typically less than ±0.3% (Supplementary Information section 7).

Fig. 3. Imaging the moiré potential of aligned G/hBN using the atomic SET.

Fig. 3

a, High-resolution current map I(x, y) at Vb = –0.35 V and T = 0.2 K, showing the shape of the contact area of the G/hBN tip and the detailed moiré structure within. b, Zero-bias dI/dV versus x and VTG, measured at filling v = 3.2 ± 1. The narrow Coulomb-blockade peak oscillates with the moiré periodicity; its gate-voltage position VTGpeak(x) is converted to the electrostatic potential at the moiré interface, ϕ(x) (right y-axis), using the junction electrostatics (Supplementary Information sections 2 and 3). This measurement cuts through the high-symmetry sites of the moiré superlattice with the highest ϕ(r) (white dashed line in a). c, Extension of b to two spatial dimensions (blue dotted region in a), showing dI/dV measured versus x, y and VTG for a few slices of constant VTG. At the lowest VTG, dI/dV is practically zero everywhere. As VTG increases, rings of conductance appear and repeat with the moiré periodicity, corresponding to equipotential lines that expand and merge with increasing VTG. From the full three-dimensional dataset (Supplementary Video 1), we extract VTGpeak(x,y) (Supplementary Information section 4) and from the junction electrostatics directly determine the moiré potential, ϕ(x, y). d, ϕ(x, y) of aligned G/hBN, measured at fillings v = 0 ± 0.15 (left), v = 1.3 ± 0.2 (centre) and v = 4 ± 1 (right). These maps are obtained by averaging over several moiré sites (uncertainties in v arise from the VTG adjustments used to meet the quantum dot resonance condition; Supplementary Information sections 4 and 13). We set ϕ = 0 at the potential minimum. The centre and right maps use defect D1 at zero bias; the left map uses defect D2 at Vb = –0.21 V. The potential exhibits an approximate C6 symmetry, changes minimally with carrier density (about 10%) and has a substantial amplitude even at zero carrier density. High-symmetry stacking sites are indicated by red, blue and grey dots. Scale bar, 50 nm (a).

Another important aspect of the defects is their energetics, which we investigate by imaging at different bias voltages at low temperature (T = 0.2 K). Figure 1d presents maps taken with another tip containing aligned G/hBN (λm = 14 nm) scanned over a bilayer WSe2 barrier and graphene electrode. All subsequent data use this tip and are taken at this temperature. At high bias, the defect-assisted current is small compared with the Fowler–Nordheim tunnelling background through the WSe2 conduction band39. Nevertheless, numerous lungs-shaped replicas of the tip contact area appear, reflecting the large set of defects accessible at this energy. As the bias is reduced, progressively fewer defects contribute, and at the lowest bias, only a single low-energy defect remains within the scan window, with minimal residual background tunnelling. We use these relatively rare, low-energy defects for imaging: their sparse distribution ensures single-defect imaging, and their low energies allow us to operate near zero bias, avoiding hot-electron and phonon injection that could interfere with measuring the thermodynamic ground state of the system.

Quantum-dot-assisted spectroscopy

In the measurements so far, the defects served only as localized pathways for current. Now we aim to harness an individual defect as a fully functional quantum dot that can probe the local electrostatic potential and thermodynamic quantities at a specific position. This is accomplished by adding top and bottom gates to the QTM junction (Fig. 2a). In a prototypical quantum dot, applying a gate voltage Vgate linearly shifts the electrostatic potential of the quantum dot, producing a characteristic Coulomb diamond diagram (Fig. 2b). At zero bias, there is a specific Vgate in which the N and N + 1 charge states of the quantum dot are degenerate, permitting current to flow. At finite bias, the conduction window expands linearly with Vb, creating a diamond shape in the VgateVb plane.

Fig. 2. Measuring local chemical potential using an atomic defect quantum dot.

Fig. 2

a, Cross-section of the QTM junction: the tip comprises an aligned G/hBN moiré interface, an hBN layer and a graphite top gate. The sensor device contains a defect-bearing bilayer WSe2 barrier, a graphene electrode, an hBN layer and a metal bottom gate. b, Prototypical quantum dot Coulomb diamond conductance diagram versus gate voltage (Vgate) and source–drain bias (Vb), showing a central conduction region (blue) and Coulomb-blockaded regions with fixed charge states (labelled N and N + 1). c, Electrostatic relations in the junction: for each graphene layer, µ = V – ϕ. The defect potential is ϕD = αϕT + (1 – α)ϕB with α= zB/(zT + zB), where zB and zT are the distances of the defect from the bottom and top layers, respectively. The defect energy ED is referenced to ϕD. d, Because the system of interest lies between the gate and the defect, gate voltages are screened by the electronic compressibility of the system. This leads to curvature in the Coulomb diamond lines, reflecting the density-dependent µ(n) of the two graphene electrodes. e, Off-defect differential conductance (dI/dV) versus top gate voltage (VTG) and Vb at T = 0.2 K and B = 0 T. Curves of reduced dI/dV correspond to the charge neutrality points (CNPs, n = 0) of the top (purple dashed) and bottom (white dashed) graphene layers. Additional suppression for |Vb| < Vth ≈ 65 mV (horizontal cyan dashed lines) arises from nonlinear contact resistance (see text). f, Off-defect measurement at B=5T showing reduced dI/dV along Landau level gaps in the top (νTLL=±2,±6, purple) and bottom (νBLL=±2, white) graphene layers. g, On-defect dI/dV versus VTG and Vb at B = 0 T, exhibiting a Coulomb diamond diagram with curved boundaries that separate blockaded regions with near-zero dI/dV and fixed quantum dot charge (N and N + 1) from a high-conductance region. Arrows mark the deflection points at the CNPs of the top G/hBN (purple) and bottom graphene (white) layers. h, On-defect measurement at B=5T, where the diamond edges exhibit step-like features due to Landau level gaps in both electrodes. White and purple dashed lines in eh are fits to the electrostatic model (Supplementary Information sections 2 and 5).

In our experiment, the system of interest is situated between the gate and the defect, so the defect directly senses the local chemical potential of the system. As shown in Fig. 2c, the electrochemical (V), electrostatic (ϕ) and chemical (µ) potentials of the two graphene layers satisfy µ = V – ϕ for each layer. Consequently, when both layers are grounded (VT = VB = 0), their local electrostatic potentials directly track their local chemical potentials. The defect experiences an electrostatic potential ϕD = αϕT + (1 – α)ϕB (Supplementary Information sections 2 and 3), with α = zB/(zT + zB) set by its relative distances to the top and bottom layers (zT, zB). The response of ϕD to a gate voltage V (top or bottom) is thus a weighted sum of the inverse electronic compressibilities dµ/dn of the top and bottom layers dϕDdV=αdμTdnTdnTdV+(1α)dμBdnBdnBdV, where dnT/dV and dnB/dV are capacitive factors determined by the junction electrostatics (Supplementary Information section 2). Consequently, the Coulomb diamond lines will curve in a way that reflects the Dirac-like µ(n) of both layers33,35,4043 (Fig. 2d).

Before performing tunnelling measurements through a defect, we first establish the electrostatics of the QTM junction, which is controlled by the top gate (VTG), the bottom gate (VBG) and the bias (Vb) voltages. Figure 2e shows the tunnelling conductance, dI/dVdI/dVb, measured off-defect as a function of VTG and Vb. The two curved lines of reduced dI/dV correspond to the charge neutrality points of the top (nT = 0) and bottom (nB = 0) graphene layers, in agreement with the electrostatic model (dashed lines, Supplementary Information section 2). For |Vb| < Vth ≈ 65 mV, there is a pronounced suppression of dI/dV. Detailed measurements (Supplementary Information section 9) indicate that this suppression is device-specific and arises from a large contact resistance that persists until the threshold bias Vth, then drops sharply. Therefore, for |Vb| < Vth, the bias primarily drops across the contact rather than across the QTM junction itself and the nT, nB = 0 lines remain vertical (essentially unaffected by bias). A similar measurement done in a perpendicular magnetic field of 5 T (Fig. 2f) shows suppressed dI/dV features associated with the Landau level gaps of the top (νTLL=±2,±6) and bottom (νBLL=±2) layers, consistent with the electrostatic model. With additional measurements as a function of VBG (Supplementary Information section 5), we fully establish how the three voltages control the carrier densities in the QTM junction.

We now measure tunnelling through a low-energy defect as a function of VTG and Vb (Fig. 2g), observing an order of magnitude higher conductance. The conductance forms a curved Coulomb diamond: along its two branches, the defect level is resonant with either the top or bottom electrode (Supplementary Information section 2), whereas outside of this region, dI/dV is strongly suppressed, corresponding to fixed quantum dot charge (labelled as N and N + 1 for generality). For |Vb| < Vth, the Coulomb blockade peak is nearly vertical, consistent with the earlier off-defect observation that the bias drops primarily on the contact in this regime. For |Vb| > Vth, the curvature of the diamond edges reflects the µ(n) of the top and bottom layers. Specifically, two deflection points (arrows) correspond to the charge neutrality points of the two layers, in which the defect potential responds more strongly to gate voltage (that is, higher slope) due to the reduced compressibility of the top or bottom layer. In a similar measurement at B = 5 T (Fig. 2h), the Coulomb diamond edges show steps reflecting the Landau level gaps. Additional calibration experiments are presented in Supplementary Information section 16.

Imaging the G/hBN moiré potential

Having shown that a defect can measure µ(n) at a single point, we now turn to imaging potentials in real space. Figure 3a shows a high-resolution map of I(x, y) measured through a single low-energy defect at Vb = –0.35 V, revealing the detailed moiré structure of the tip. To extract the electrostatic potential, we monitor how the zero-bias Coulomb peak shifts as the tip is scanned across the defect. Figure 3b shows the zero-bias dI/dV(x, VTG) measured along the white dashed line in Fig. 3a. A narrow Coulomb blockade peak is observed at each x, whose gate-voltage position VTGpeak(x) oscillates with the moiré periodicity, following VTGpeak(x)=cϕ(x)+const (c is determined by the junction electrostatics; Supplementary Information sections 2 and 3). This scan, therefore, directly tracks the moiré electrostatic potential (Fig. 3b, right axis).

We can now apply this technique to obtain a full 2D map of the moiré potential. Figure 3c shows the zero-bias dI/dV measured as a function of x and y (Fig. 3a, dotted box) and at several values of VTG. At the lowest VTG, dI/dV is practically zero at every (x, y) position. With increased VTG, conductance appears along rings, which repeat in the (x, y) plane with the moiré periodicity. These rings correspond to equipotential lines within the moiré unit cell. Further increasing VTG increases the radius of the rings until they merge and disappear. From a full three-dimensional map of dI/dV(x, y, VTG) (Supplementary Video 1), we extract VTGpeak(x,y) (Supplementary Information section 4), and from the relation above, directly determine the 2D moiré potential.

Figure 3d shows the 2D moiré potential ϕ(x, y) across a single moiré unit cell at three fillings, ν = 0 ± 0.15, 1.3 ± 0.2 and 4 ± 1 (with ν = 1 corresponding to one electron per moiré cell). Several key features emerge. First, the moiré potential amplitude is large, ranging from 52 mV to 62 mV (Supplementary Information section 18). Second, this amplitude varies only minimally (about 10%) with moiré filling. The maps also show three distinct high-symmetry points: a central maximum (red) and two minima separated by 60° (grey and blue). The difference between these minima, Δϕminima ≈ 4 mV, is a small fraction of the overall scale. This indicates that although a minor C3 component is present, consistent with the underlying symmetry of the moiré lattice, the overall symmetry is close to C6.

Comparison with theory

To interpret our observations, we consider various mechanisms that have been theoretically proposed to induce potential. Following ref. 10, the moiré Hamiltonian can be decomposed into three terms: an effective pseudoelectric potential (H0), a pseudomagnetic field (Hxy) and a local mass term (Hz), each associated with a corresponding sublattice Pauli matrix (Supplementary Information section 13). The dominant H0 term arises from two effects: (1) the spatially varying stacking potential generated by changes in the local G/hBN alignment within the moiré cell and (2) the in-plane relaxation of the graphene lattice, which stretches and compresses the C–C bonds, leading to local variations in the Dirac point energy relative to the vacuum level and captured by the deformation potential9,44.

Figure 4 shows the predicted stacking (Fig. 4a) and deformation (Fig. 4b) pseudopotential terms comprising H0, along with the pseudomagnetic field Hxy (Fig. 4c), with the three high-symmetry CB (carbon above boron), CN (carbon above nitrogen) and AA (carbon above both boron and nitrogen) stacking sites marked. Generally, a pseudoelectric potential may reflect energy changes that are not electrostatic in nature. However, theory44 and density functional theory calculations45,46 suggest that the pseudopotentials in Fig. 4a,b are directly accounted for by charge polarization perpendicular to the layers and therefore manifest as real electrostatic potentials.

Fig. 4. Theoretical breakdown of the various physical mechanisms contributing to the moiré potential in aligned G/hBN.

Fig. 4

a, Stacking pseudopotential due to the relative stacking of G and hBN, which varies within the moiré unit cell. The three high-symmetry points corresponding to local CB, CN and AA stacking are marked. b, Deformation pseudopotential due to atomic relaxation within the graphene layer. The terms in a and b both appear in the H0 part of the Bloch Hamiltonian, corresponding to the identity matrix in the sublattice basis. c, Magnitude of the pseudomagnetic field, which appears in the Hxy part of the Hamiltonian, corresponding to the σx and σy Pauli matrices in the sublattice basis. df, Self-consistent electrostatic potentials obtained after considering the screening by the graphene carriers, calculated by including a self-consistent Hartree potential response using a carrier density corresponding to v = 4. All terms show strong C3 symmetry around the moiré centre, in contrast to the C6 symmetry observed in the experiments. g, Self-consistent stacking and deformation potentials are plotted along a linecut through the moiré centre (dashed white line, bottom inset). The CB, CN and AA high-symmetry points are labelled. Visibly, each of the two terms (blue, pink) shows a strong C3 symmetry. However, owing to cancelling contributions, their sum (purple) exhibits an approximate C6 symmetry, with only a small difference between the potential minima at the CB and AA stacking sites. h, Total self-consistent potential calculated for v = 0. This potential resembles the experiment in terms of the approximate C6 symmetry, but its magnitude is half of that measured experimentally.

Graphene carriers redistribute to screen these pseudopotentials, producing the self-consistent electrostatic potential measured by our detector. We model this using self-consistent Hartree calculations (Supplementary Information section 13). The resulting screened potentials from the components in Fig. 4a–c are shown in Fig. 4d–f. Notably, screening preserves the shape of the pseudoelectric potentials but reduces their magnitude by approximately 2.2, consistent with the predicted random-phase-approximation dielectric constant ϵ = 1 + πα/2 ≈ 2.0, where α=e24πκϵ0ħvF is the fine-structure constant of graphene, vF is its Fermi velocity and κ = 3.5 is the hBN dielectric constant47. Furthermore, we find that electronic screening converts the pseudomagnetic field Hxy into an electrostatic potential (Fig. 4f). This potential is small compared with the other two, scales linearly with ν, and becomes identically zero at v = 0 (same for Hz; Supplementary Information section 13). As our experiments show only a minor v dependence, we omit the Hxy and Hz terms in further discussions.

Both leading potential terms (Fig. 4d,e) exhibit a clear C3 symmetry around the central CN site, in contrast to the approximate C6 symmetry observed experimentally. However, examining the minima at the CB and AA sites shows that these C3 symmetries are inverted—for the first term ϕAA > ϕCB and for the second term ϕCB > ϕAA. The two terms compensate each other to form an almost C6-symmetric total potential with a pronounced central peak (Fig. 4g). The resulting total self-consistent potential (Fig. 4h) strongly resembles the experimental result, with one notable exception—the experimental potential scale is double the theoretical prediction. One explanation might be that theory underestimates strain in the moiré interface21. However, increasing strain alone would yield a more C3-symmetric potential, contrasting our observations. This large discrepancy demonstrates that, despite G/hBN being one of the most relevant and extensively studied moiré interfaces, there are substantial gaps in its theoretical understanding, which has direct consequences for recent experiments that use this interface to design new states of matter (for example, FQAHE in moiré pentalayer graphene).

Finally, we show the dependence of the moiré potential on the distance from the moiré interface. Extended Data Fig. 1 presents potential traces measured by two defects, located at approximately 0.8 nm (D2) and 1.5 nm (D1) from the interface (Supplementary Information section 3). The measured potential decays rapidly, even over these small distances. This significant drop suggests that if the detector were at a moiré distance (h = λm) away from the interface, it would have detected only e4π3hλmϵϵ ≈ 10–4 of the potential, underscoring the importance of our atomic SET operating at extremely close standoff distances. At the same time, these measurements also demonstrate that in thin flakes, such as pentalayer graphene, electrons can still experience a significant moiré potential (tens of mV) even in the farthest graphene layer.

Extended Data Fig. 1. Measured decay of the moiré potential with height.

Extended Data Fig. 1

Linecuts along high-symmetry points of the moiré potential, ϕmD, measured as a function of position, x, using two defects (D1 and D2). These defects are located at different heights from the G/hBN interface (1.5 nm and 0.8 nm, respectively) and measured at moiré fillings v = 4 ± 1 and v = 3.2 ± 1. We also plot the potential at the moiré interface (ϕ(x), dashed lines) deduced using the calibrated junction electrostatics (Supplementary Information sections 2 and 3) from the measurements with both defects. The potentials are offset along the y-axis for clarity. These measurements demonstrate that even at such small heights, the decay of the moiré potential amplitude is substantial (~60% measured decay from 0.8 nm to 1.5 nm).

The atomic SET scanning probe technique demonstrated here has a combination of features that are extremely powerful for studying a wide range of quantum materials. Its QTM geometry allows it to scan within the pristine interfaces of a variety of vdW materials. Similar to existing SETs, this technique will allow quantitative measurements of thermodynamic properties such as the electronic compressibility24,25,48 and entropy49, but now with two orders of magnitude improved spatial resolution—below the Fermi wavelength, magnetic length and moiré scales of many systems. This advance extends this powerful imaging method to a much broader class of physical phenomena occurring on small scales such as Wigner crystals, topological edge states, vortex charges, symmetry-broken phases and fractionally charged quasiparticles.

Online content

Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41586-025-10085-z.

Supplementary information

Supplementary Information (13.2MB, pdf)

This file includes Supplementary Information sections 1–18, Supplementary Figs. 1–29 and additional references.

Supplementary Video 1 (1.2MB, mp4)

Full measurement of conductance compared with position and top gate voltage. Video showing full three-dimensional measurement of conductance dI/dV as a function of position (x, y) within the moiré superlattice and top gate voltage VTG. The data were obtained using defect D2 at zero d.c. bias Vb and bottom gate voltage VBG = 0 with an a.c. bias excitation of 1 mV root mean square.

Acknowledgements

We thank A. MacDonald, H. Steinberg, O. Hod, W. Cao, and Y. Meir for their discussions. This work was supported by the Israel Science Foundation (grant no. 1621/24), the Leona M. and Harry B. Helmsley Charitable Trust, the Rosa and Emilio Segre Research Award, the ERC-Adg (QTM, grant no. 101097125), the DFG-funded project (no. 277101999-CRC 183 (C02)), Minerva (grant no. 74434), the BSF (grant no. 2020260) and the SNF Sinergia (grant no. CRSII_222792/1). D.R.K. acknowledges support from the Zuckerman STEM Leadership Program. M.M.A.E., L.P. and S.A. acknowledge support from the Singapore National Science Foundation Investigator Award (NRFNRFI06-2020-0003) and the Singapore Ministry of Education AcRF Tier 2 grant (MOE-T2EP50220-0016). We thank G. Atiya from the Materials Science and Engineering Department, Electron Microscopy Center, Technion, for her assistance with the focused ion beam patterning.

Extended data figures and tables

Author contributions

D.R.K., U.Z. and S.I. designed the experiment with the assistance of J.B., A.I. and J.X. in the early stages of the experiment. U.Z. built the millikelvin scanning microscope. D.R.K., U.Z., A.K., Y.Z. and M.S. fabricated the devices and performed the experiments. D.R.K., U.Z., A.K. and S.I. analysed the data. M.M.A.E., L.P. and S.A. wrote the theoretical model. K.W. and T.T. supplied the hBN crystals. D.R.K., U.Z. and S.I. wrote the paper with input from other authors.

Peer review

Peer review information

Nature thanks the anonymous reviewers for their contribution to the peer review of this work.

Data availability

The data shown in this paper are provided at zenodo.org/records/17689195. Additional data that support the plots and other analysis in this work are available from the corresponding author upon request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Dahlia R. Klein, Uri Zondiner

Extended data

is available for this paper at 10.1038/s41586-025-10085-z.

Supplementary information

The online version contains supplementary material available at 10.1038/s41586-025-10085-z.

References

  • 1.Inbar, A. et al. The quantum twisting microscope. Nature614, 682–687 (2023). [DOI] [PubMed] [Google Scholar]
  • 2.Yankowitz, M. et al. Emergence of superlattice Dirac points in graphene on hexagonal boron nitride. Nat. Phys.8, 382–386 (2012). [Google Scholar]
  • 3.Hunt, B. et al. Massive Dirac fermions and Hofstadter butterfly in a van der Waals heterostructure. Science340, 1427–1430 (2013). [DOI] [PubMed] [Google Scholar]
  • 4.Dean, C. R. et al. Hofstadter’s butterfly and the fractal quantum Hall effect in moiré superlattices. Nature497, 598–602 (2013). [DOI] [PubMed] [Google Scholar]
  • 5.Ponomarenko, L. A. et al. Cloning of Dirac fermions in graphene superlattices. Nature497, 594–597 (2013). [DOI] [PubMed] [Google Scholar]
  • 6.Wallbank, J. R., Patel, A. A., Mucha-Kruczyński, M., Geim, A. K. & Fal’ko, V. I. Generic miniband structure of graphene on a hexagonal substrate. Phys. Rev. B87, 245408 (2013). [Google Scholar]
  • 7.Woods, C. R. et al. Commensurate–incommensurate transition in graphene on hexagonal boron nitride. Nat. Phys.10, 451–456 (2014). [Google Scholar]
  • 8.Jung, J., Raoux, A., Qiao, Z. & MacDonald, A. H. Ab initio theory of moiré superlattice bands in layered two-dimensional materials. Phys. Rev. B89, 205414 (2014). [Google Scholar]
  • 9.San-Jose, P., Gutiérrez-Rubio, A., Sturla, M. & Guinea, F. Electronic structure of spontaneously strained graphene on hexagonal boron nitride. Phys. Rev. B90, 115152 (2014). [Google Scholar]
  • 10.Jung, J. et al. Moiré band model and band gaps of graphene on hexagonal boron nitride. Phys. Rev. B96, 085442 (2017). [Google Scholar]
  • 11.Kumar, R. K. et al. High-temperature quantum oscillations caused by recurring Bloch states in graphene superlattices. Science357, 181–184 (2017). [DOI] [PubMed] [Google Scholar]
  • 12.Sharpe, A. L. et al. Emergent ferromagnetism near three-quarters filling in twisted bilayer graphene. Science365, 605–608 (2019). [DOI] [PubMed] [Google Scholar]
  • 13.Serlin, M. et al. Intrinsic quantized anomalous Hall effect in a moiré heterostructure. Science367, 900–903 (2020). [DOI] [PubMed] [Google Scholar]
  • 14.Zheng, Z. et al. Unconventional ferroelectricity in moiré heterostructures. Nature588, 71–76 (2020). [DOI] [PubMed] [Google Scholar]
  • 15.Klein, D. R. et al. Electrical switching of a bistable moiré superconductor. Nat. Nanotechnol.18, 331–335 (2023). [DOI] [PubMed] [Google Scholar]
  • 16.Lu, Z. et al. Fractional quantum anomalous Hall effect in multilayer graphene. Nature626, 759–764 (2024). [DOI] [PubMed] [Google Scholar]
  • 17.Lee, M. et al. Ballistic miniband conduction in a graphene superlattice. Science353, 1526–1529 (2016). [DOI] [PubMed] [Google Scholar]
  • 18.Yankowitz, M. et al. Dynamic band-structure tuning of graphene moiré superlattices with pressure. Nature557, 404–408 (2018). [DOI] [PubMed] [Google Scholar]
  • 19.Shi, Z. et al. Gate-dependent pseudospin mixing in graphene/boron nitride moiré superlattices. Nat. Phys.10, 743–747 (2014). [Google Scholar]
  • 20.Ni, G. X. et al. Plasmons in graphene moiré superlattices. Nat. Mater.14, 1217–1222 (2015). [DOI] [PubMed] [Google Scholar]
  • 21.Shabani, S. et al. Deep moiré potentials in twisted transition metal dichalcogenide bilayers. Nat. Phys.17, 720–725 (2021). [Google Scholar]
  • 22.Yoo, M. J. et al. Scanning single-electron transistor microscopy: imaging individual charges. Science276, 579–582 (1997). [DOI] [PubMed] [Google Scholar]
  • 23.Honig, M. et al. Local electrostatic imaging of striped domain order in LaAlO3/SrTiO3. Nat. Mater.12, 1112–1118 (2013). [DOI] [PubMed] [Google Scholar]
  • 24.Xie, Y. et al. Fractional Chern insulators in magic-angle twisted bilayer graphene. Nature600, 439–443 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Yu, J. et al. Correlated Hofstadter spectrum and flavour phase diagram in magic-angle twisted bilayer graphene. Nat. Phys.18, 825–831 (2022). [Google Scholar]
  • 26.Li, H. et al. Imaging two-dimensional generalized Wigner crystals. Nature597, 650–654 (2021). [DOI] [PubMed] [Google Scholar]
  • 27.Chiu, C.-L. et al. High spatial resolution charge sensing of quantum Hall states. Proc. Natl Acad. Sci. USA122, e2424781122 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Wagner, C. et al. Scanning quantum dot microscopy. Phys. Rev. Lett.115, 026101 (2015). [DOI] [PubMed] [Google Scholar]
  • 29.Hapala, P. et al. Mapping the electrostatic force field of single molecules from high-resolution scanning probe images. Nat. Commun.7, 11560 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bolat, R. et al. Electrostatic potentials of atomic nanostructures at metal surfaces quantified by scanning quantum dot microscopy. Nat. Commun.15, 2259 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Chandni, U., Watanabe, K., Taniguchi, T. & Eisenstein, J. P. Evidence for defect-mediated tunneling in hexagonal boron nitride-based junctions. Nano Lett. 15, 7329–7333 (2015). [DOI] [PubMed] [Google Scholar]
  • 32.Wong, D. et al. Characterization and manipulation of individual defects in insulating hexagonal boron nitride using scanning tunnelling microscopy. Nat. Nanotechnol.10, 949–953 (2015). [DOI] [PubMed] [Google Scholar]
  • 33.Greenaway, M. T. et al. Tunnel spectroscopy of localised electronic states in hexagonal boron nitride. Commun. Phys.1, 94 (2018). [Google Scholar]
  • 34.Edelberg, D. et al. Approaching the intrinsic limit in transition metal diselenides via point defect control. Nano Lett.19, 4371–4379 (2019). [DOI] [PubMed] [Google Scholar]
  • 35.Keren, I. et al. Quantum-dot assisted spectroscopy of degeneracy-lifted Landau levels in graphene. Nat. Commun.11, 3408 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Roelcke, C. et al. Ultrafast atomic-scale scanning tunnelling spectroscopy of a single vacancy in a monolayer crystal. Nat. Photon.18, 595–602 (2024). [Google Scholar]
  • 37.Birkbeck, J. et al. Quantum twisting microscopy of phonons in twisted bilayer graphene. Nature641, 345–351 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Cosma, D. A., Wallbank, J. R., Cheianov, V. & Fal’ko, V. I. Moiré pattern as a magnifying glass for strain and dislocations in van der Waals heterostructures. Faraday Discuss.173, 137–43 (2014). [DOI] [PubMed] [Google Scholar]
  • 39.Kim, K. et al. Band alignment in WSe2–graphene heterostructures. ACS Nano9, 4527–4532 (2015). [DOI] [PubMed] [Google Scholar]
  • 40.Devidas, T. R., Keren, I. & Steinberg, H. Spectroscopy of NbSe2 using energy-tunable defect-embedded quantum dots. Nano Lett.21, 6931–6937 (2021). [DOI] [PubMed] [Google Scholar]
  • 41.Zheng, S. et al. Robust quantum oscillation of Dirac fermions in a single-defect resonant transistor. ACS Nano15, 20013–20019 (2021). [DOI] [PubMed] [Google Scholar]
  • 42.Seo, Y. et al. Defect-assisted tunneling spectroscopy of electronic band structure in twisted bilayer graphene/hexagonal boron nitride moiré superlattices. Appl. Phys. Lett.120, 203103 (2022). [Google Scholar]
  • 43.Vdovin, E. E. et al. A magnetically-induced Coulomb gap in graphene due to electron-electron interactions. Commun. Phys.6, 159 (2023). [Google Scholar]
  • 44.Bardeen, J. & Shockley, W. Deformation potentials and mobilities in non-polar crystals. Phys. Rev.80, 72–80 (1950). [Google Scholar]
  • 45.Bokdam, M., Amlaki, T., Brocks, G. & Kelly, P. J. Band gaps in incommensurable graphene on hexagonal boron nitride. Phys. Rev. B89, 201404 (2014). [Google Scholar]
  • 46.Wang, H. et al. Ferroelectric polarization of graphene/h-BN bilayer of different stacking orders. Surf. Interfaces46, 103999 (2024). [Google Scholar]
  • 47.Hwang, E. H. & Sarma, S. D. Dielectric function, screening, and plasmons in two-dimensional graphene. Phys. Rev. B75, 205418 (2007). [Google Scholar]
  • 48.Zondiner, U. et al. Cascade of phase transitions and Dirac revivals in magic-angle graphene. Nature582, 203–208 (2020). [DOI] [PubMed] [Google Scholar]
  • 49.Rozen, A. et al. Entropic evidence for a Pomeranchuk effect in magic-angle graphene. Nature592, 214–219 (2021). [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information (13.2MB, pdf)

This file includes Supplementary Information sections 1–18, Supplementary Figs. 1–29 and additional references.

Supplementary Video 1 (1.2MB, mp4)

Full measurement of conductance compared with position and top gate voltage. Video showing full three-dimensional measurement of conductance dI/dV as a function of position (x, y) within the moiré superlattice and top gate voltage VTG. The data were obtained using defect D2 at zero d.c. bias Vb and bottom gate voltage VBG = 0 with an a.c. bias excitation of 1 mV root mean square.

Data Availability Statement

The data shown in this paper are provided at zenodo.org/records/17689195. Additional data that support the plots and other analysis in this work are available from the corresponding author upon request.


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