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Chaotic Dirac Billiard in Graphene Quantum Dots

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Science  18 Apr 2008:
Vol. 320, Issue 5874, pp. 356-358
DOI: 10.1126/science.1154663

Abstract

The exceptional electronic properties of graphene, with its charge carriers mimicking relativistic quantum particles and its formidable potential in various applications, have ensured a rapid growth of interest in this new material. We report on electron transport in quantum dot devices carved entirely from graphene. At large sizes (>100 nanometers), they behave as conventional single-electron transistors, exhibiting periodic Coulomb blockade peaks. For quantum dots smaller than 100 nanometers, the peaks become strongly nonperiodic, indicating a major contribution of quantum confinement. Random peak spacing and its statistics are well described by the theory of chaotic neutrino billiards. Short constrictions of only a few nanometers in width remain conductive and reveal a confinement gap of up to 0.5 electron volt, demonstrating the possibility of molecular-scale electronics based on graphene.

One of the most discussed and tantalizing directions in research on graphene (1, 2) is its use as the base material for electronic circuitry that is envisaged to consist of nanometer-sized elements. Most attention has so far been focused on graphene nanoribbons (312). An alternative is quantum dot (QD) devices that, as described below, can be made entirely from graphene, including their central islands (CIs), quantum barriers, source and drain contacts, and side-gate electrodes.

Our experimental devices were microfabricated from graphene crystallites prepared by cleavage on top of an oxidized Si wafer (300 nm of SiO2) (1). By using high-resolution electron-beam lithography, we defined a 30-nm-thick polymethylmethacrylate (PMMA) mask that protected chosen areas during oxygen plasma etching and allowed us to carve graphene into a desired geometry. The inset in Fig. 1A shows one of our working devices that generally consisted of the CI of diameter D, connected via two short constrictions to wide source and drain regions; the devices also had side-gate electrodes [we often placed them ∼1 μm away from the CI as explained in (13)]. The Si wafer was used as a back gate. The constrictions were designed to have equal length and width of 20 nm (13), and we refer to them as quantum point contacts (QPCs). They provided quantum barriers to decouple the CI from the contacts (14, 15). If necessary, by using further etching (after the devices were tested), we could narrow QPCs by several nm, exploiting the gradual etching away of the PMMA mask not only from top but also sideways. This allowed us to tune the resistance of QDs to a value of several hundred kilohm, i.e., much larger than resistance quantum h/e2 (e is the electron charge, and h is Planck's constant), which is essential for single-electron transport. Graphene QDs with features as small as 10 nm could be fabricated reliably with this approach. For even smaller D, irregularities in PMMA [∼5 nm (16)] became comparable in size with the designed features and, unavoidably on this scale, we could only estimate the device geometry. The measurements were carried out using the standard lock-in technique with dc bias at temperatures T from 0.3 to 300 K. We used both side and back gates; the latter allowed extensive changes in the population of QD levels, whereas the former was useful for accurate sweeps over small energy intervals (13). The response to the side-gate potential differed for different devices but could be related to back-gate voltage Vg through a numerical factor. For consistency, all the data are presented as a function of Vg.

Fig. 1.

Graphene-based single-electron transistor. (A) Conductance G of a device with the central island of 250 nm in diameter and distant side gates (13) as a function of Vg in the vicinity of +15 V (B); T = 0.3 K. The inset shows one of our smaller devices to illustrate the high resolution of our lithography that allows features down to 10 nm. Dark areas in the scanning electron micrograph are gaps in the PMMA mask so that graphene is removed from these areas by plasma etching. In this case, a 30-nm QD is connected to contact regions through narrow constrictions and there are four side gates. (B) Conductance of the same device as in (A) over a wide range of Vg (T = 4 K). Upper inset: Zooming into the low-G region reveals hundreds of CB oscillations. The lower inset shows Coulomb diamonds: differential conductance Gdiff = dI/dV as a function of Vg (around +10 V) and bias Vb (yellow-to-red scale corresponds to Gdiff varying from zero to 0.3e2/h).

We have found three basic operational regimes for QDs, depending on their D. Our large devices exhibit (nearly) periodic Coulomb blockade (CB) resonances that at low T are separated by regions of zero conductance G (Fig. 1A). As T increases, the peaks become broader and overlap, gradually transforming into CB oscillations (Fig. 1B). The oscillations become weaker as G increases with carrier concentration or T, and completely disappear for G larger than ∼0.5e2/h because the barriers become too transparent to allow CB. For the data in Fig. 1B, we have identified more than 1000 oscillations. Their periodicity, ΔVg ≈ 16 mV, yields the capacitance between the back gate and CI, Cg = e/ΔVg ≈ 10 aF, which is close to Cg ≈ 2ϵ0(ϵ +1)D ≈ 20 aF, as expected for a disk placed on top of SiO2 (dielectric constant ϵ ≈ 4) and at a distance hD = 250 nm from the metallic Si gate (in this case, Cg is nearly the same as for an isolated disk) (17). The difference by a factor of 2 can be accounted for in terms of screening by the contact regions (17).

The overall shape of the conductance curve G(Vg) in Fig. 1B resembles that of bulk graphene but is distorted by smooth (on the scale of ΔVg) fluctuations that are typical for mesoscopic devices and are due to quantum interference (14, 1820). Smooth variations in the CB peak height (Fig. 1A) are attributed to interference-induced changes in the barriers' transparency, as shown by studying individual QPCs (13). Furthermore, we have measured the dependence of CB on applied bias Vb and, from the standard stability diagrams (Coulomb diamonds), found the charging energy Ec. The lower inset in Fig. 1B shows such diamonds for D ≈ 250 nm, which yields Ec ≈ 3 meV and the total capacitance C = e2/Ec ≈ 50 aF. The rather large Ec implies that the CB oscillations in Fig. 1B are smeared mostly due to an increase in the barrier transparency with T, and submicrometer graphene QDs should be operational at T ≥ 10 K. In general, the observed behavior is in agreement with the one exhibited by conventional single-electron transistors (SETs). Such devices were previously studied with metallic and semiconducting materials (14, 15) and, more recently, the first SETs made from graphite (18) and graphene (1, 19, 20) were also demonstrated. The allgraphene SETs reported here are technologically simple, reliable, and robust and can operate well above liquid-helium T, making them attractive candidates for use in various charge-detector schemes (14).

For devices smaller than ∼100 nm, we observed a qualitative change in behavior: CB peaks were no longer a periodic function of Vg but varied strongly in their spacing (Fig. 2, A and B, illustrate this behavior for D ≈ 40 nm, whereas Fig. 2C plots the distance ΔVg between the nearest peaks for 140 of them). One can see that ΔVg varies by a factor of 5 or more, which exceeds by orders of magnitude typical variations of ΔVg observed in nongraphene QDs (15, 21, 22). This is a clear indication that the size quantization becomes an important factor even for such a modest confinement. The reason for this is that a typical level spacing δEvFh/2D for graphene's massless carriers [Dirac fermions (1, 2)] in a quantum box of size D is much larger than δEh2/8mD2 for massive carriers in other materials (v ≈ 106 m/s is the Fermi velocity in graphene, and m is the effective mass). The distance between CB peaks is determined by the sum of charging and confinement energies ΔE = Ec + δE, and the latter contribution becomes dominant for our devices with D < 100 nm. Accordingly, we refer to them as QDs rather than SETs (23). Because Ec is constant for a given QD geometry, variations in ΔE (found from the height of Coulomb diamonds) are due to confinement, which allows us to estimate characteristic δE (24). For example, we find δE ∼ 10 meV for the 40-nm QD (Fig. 2), in agreement with the above formula δE ≈ α/D, where coefficient α varies around 0.5 eV·nm by a factor of 2 in different models (512).

Fig. 2.

Effect of quantum confinement. CB peaks (A) and Coulomb diamonds (B) for a 40-nm QD (T = 4 K). Variations in peak spacing and the size of diamonds are clearly seen. Yellow-to-red scale in (B) corresponds to Gdiff varying from zero to 0.4e2/h. Two excited states (marked by additional lines) are feebly visible around δVg ≈ 150 and 850 mV and Vb ≈ 10 mV. The smearing is caused by an increase in the transparency of quantum barriers at higher Vb. Further examples of excited states are given in the supporting material (13). (C) Separation of nearest-neighbor peaks at zero Vb in the same device for a large interval of Vg (beyond this interval, CB became suppressed by high transparency of the barriers). Inset in (A): Log-log plot of the average peak spacing 〈ΔVg〉 (solid squares) and its standard deviation δ(ΔVg) (open circles) as a function of D. Linear (〈ΔVg〉 ∝ 1/D, solid line) and quadratic [δ (ΔVg) ∝ 1/D2, dashed] dependences are plotted as guides to the eye. The dotted curve is the best fit for the average peak spacing: 〈ΔVg〉 ∝ 1/Dγ yielding γ ≈ 1.25.

For four devices with different D, we have carried out statistical analysis of their peak spacing (Fig. 3). As QDs become smaller, the average distance 〈ΔVg〉 between CB peaks gradually increases (Fig. 2A; inset). General expectations suggest that 〈ΔVg〉 should be proportional to 1/D, being determined by two contributions to the QD capacitance: geometrical and quantum (15). According to the formula used above, the geometrical capacitance is ∝ D. The quantum capacitance is given by the confinement energy and, in the first approximation, is also expected to vary as D. Indeed, it has been shown (25) that energy levels Enl of Dirac fermions inside a disk of diameter D are described by Jl(EnlD/2ħvF) = Jl+1(EnlD/2ħvF), where n and l are the main and orbital quantum numbers, respectively, and Jl(x) are the Bessel functions. This equation yields a typical level splitting 〈δE〉 ∝ 1/D (25), in qualitative agreement with the behavior of 〈ΔVg〉 in Fig. 2A.

Fig. 3.

Level statistics in Dirac billiards. Histograms of the nearest-neighbor level spacing in QDs of different D. The spacing is given directly in terms of ΔE (rather than ΔVg), which was achieved by measuring the size of Coulomb diamonds. This allows the straightforward comparison between the experiment and theory (25). The level statistics becomes increasingly non-Poissonian for smaller QDs. This is illustrated for the smallest device where the red, black, and blue curves are the best fits for the Gaussian unitary, Poisson, and Gaussian orthogonal ensembles, respectively. There are no states at low ΔE because the measured distributions are shifted from the origin due to CB (Ec is used as a fitting parameter).

However, further analysis reveals that the above simple picture starts to break down for D < 100 nm. One can see from Fig. 3 that the shape of the spectral distribution notably changes: For small QDs, the histograms become increasingly broader, as compared to their average positions. Also, 〈ΔVg〉 changes somewhat quicker than 1/D (Fig. 2A, inset). We have calculated statistical deviations δ(ΔVg) from the average 〈ΔVg〉 and found that δ(ΔVg) grows approximately as 1/D2 with decreasing D (Fig. 2A). For example, for D ≈ 40 nm, average fluctuations in the peak spacing become as large as 〈ΔVg〉 itself, which essentially means random positions of CB peaks. The observed behavior contradicts the one expected for Dirac fermions confined inside an ideal disk (25).

To explain this discrepancy, we point out that any confinement of Dirac fermions, except for the circular one, is predicted to result in quantum chaos (even the simplest square geometry leads to chaotic trajectories) (25). In general, chaos is a common feature of all systems with several degrees of freedom, whose behavior cannot be described as a superposition of independent one-dimensional motions. Classically, this entanglement between different variables leads to an exponential increase in the distance between two initially close trajectories with increasing time. Quantum mechanically, chaotic systems are characterized by distinctive statistics of their energy levels, which must comply with one of the Gaussian random ensembles, in contrast to the level statistics for the nonchaotic systems described by the Poisson distribution (26).

The experimentally observed level statistics in graphene QDs agrees well with the one predicted for chaotic Dirac or “neutrino” billiards (Fig. 3). Indeed, in our case, the quantum capacitance is no longer ∝ D because δE changes as ∝ 1/D2 (25), reflecting the lifting of the level degeneracy at large n and l, and the number of states around a given energy is proportional to the dot area ∝ D2. This effect is often referred to as the level repulsion, a universal signature of quantum chaos. The observed random spacing of CB peaks, random height of Coulomb diamonds, changes in 〈ΔVg〉 quicker than 1/D and, especially, the pronounced broadening of the spectral distribution all indicate that chaos becomes a dominant factor for small QDs.

To corroborate this further, Fig. 3 shows that the observed level spacing is well described by Gaussian unitary distribution (32/π2E2exp(–4δE2/π) (characteristic of chaotic billiards) rather than the Poisson statistics exp(–δE) expected for integrable geometries (25, 26). The CB energy shifts the statistical distributions from zero (we measure ΔE = Ec + δE rather than δE), and this makes it difficult to distinguish between unitary and orthogonal ensembles. Nevertheless, the Gaussian unitary distribution fits our data notably better. This agrees with the theory that expects random edges to break down the sublattice symmetry (27) leading to the unitary statistics (25). In terms of statistics, Dirac billiards are different from the chaotic wave systems that mimic quantum mechanics and are also described by the linear dispersion relation (optical, microwave, and acoustic cavities) but typically obey the Gaussian orthogonal statistics (28). Further evidence for the level repulsion in small QDs is provided by the absence of any apparent bunching in their spectra (Fig. 2C). Indeed, despite considerable effort, we did not find repetitive quartets or pairs of CB peaks, which in principle could be expected due to spin and/or valley degeneracy. The latter degeneracy is lifted by edge scattering (27), whereas the spin degeneracy may be removed by scattering on localized spins due to broken carbon bonds (5).

For even smaller devices (D < 30nm), the experimental behavior is completely dominated by quantum confinement. They exhibit insulating regions in Vg sometimes as large as several V, and their stability diagrams yield the level spacing exceeding ∼50 meV (Fig. 4, A and B). However, because even the state-of-the-art lithography does not allow one to control features <10 nm in size, the experimental behavior varies widely, from being characteristic of either an individual QD or two QDs in series or an individual QPC (13). It is also impossible to relate the observations with the exact geometry because scanning electron and atomic force microscopy fail in visualizing the one-atom-thick elements of several nm in size and often covered by PMMA or its residue. Nevertheless, we can still use δE to estimate the spatial scale involved. Basic arguments valid at a microscopic scale require a/D ≈ δE/t (where a is the interatomic distance, and t ≈ 3 eV is the hopping energy), which again yields δE ≈ α/D with α ≈ 0.5 eV nm. For example, for the QD shown in Fig. 4 with ΔE ≈ 40 meV, we find D ∼15 nm.

Fig. 4.

Electron transport through nm-scale graphene devices. CB peaks (A) and diamonds (B) for a QD with an estimated size ∼ 15 nm. (C) Electron transport through a controllably narrowed device with a minimal width of only ≈1 nm as estimated from its ΔE. Its conductance can be completely pinched-off even at room T. Fluctuations in the on state at room T are time dependent (excess noise). At low T, the on state exhibits much lower G, and the noise disappears. Occasional transmission resonances can also be seen as magnified in the inset.

Finally, we used our smallest devices (both QDs and QPCs) to increase δE by further decreasing their size using plasma etching. Some of the devices become overetched and stop conducting, but in other cases we have narrowed them down to a few nm so that they exhibit the transistor action even at room T (Fig. 4C). The device shown appears completely insulating, with no measurable conductance (G <10–10 S) over an extended range of Vg (>30 V) (off state), but then it suddenly switches on, exhibiting rather high G ≈ 10–3e2/h. At large biases, we observe the conductance onset shifting with Vb (13), which allows an estimate for ΔE as ≈0.5 eV. This value agrees with the T dependence measured near the onset of the on state, which shows that we do not deal with several QDs in series [as it was argued to be the case for nanoribbons (29)]. With no possibility to control the exact geometry for the nm sizes, we cannot be certain about the origin of the observed switching. Also, the exact boundary arrangements (armchair versus zigzag versus random edge and the termination of dangling bonds) can be important on this scale (512). Nevertheless, δE ∼ 0.5 eV again allows us to estimate the spatial scale involved in the confinement as only ∼1 nm.

Our work demonstrates that graphene QDs are an interesting and versatile experimental system allowing a range of operational regimes from conventional single-electron detectors to Dirac billiards, in which size effects are exceptionally strong and chaos develops easily. Unlike any other material, graphene remains mechanically and chemically stable and highly conductive at the scale of a few benzene rings, which makes it uniquely suitable for the top-down approach to molecular-scale electronics.

Supporting Online Material

www.sciencemag.org/cgi/content/full/320/5874/356/DC1

Materials and Methods

SOM Text

Figs. S1 to S5

References

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