Literature DB >> 26563740

Vibrational Properties of h-BN and h-BN-Graphene Heterostructures Probed by Inelastic Electron Tunneling Spectroscopy.

Suyong Jung1, Minkyu Park1,2, Jaesung Park1, Tae-Young Jeong1,3, Ho-Jong Kim1,4, Kenji Watanabe5, Takashi Taniguchi5, Dong Han Ha1,2, Chanyong Hwang1, Yong-Sung Kim1,2.   

Abstract

Inelastic electron tunneling spectroscopy is a powerful technique for investigating lattice dynamics of nanoscale systems including graphene and small molecules, but establishing a stable tunnel junction is considered as a major hurdle in expanding the scope of tunneling experiments. Hexagonal boron nitride is a pivotal component in two-dimensional Van der Waals heterostructures as a high-quality insulating material due to its large energy gap and chemical-mechanical stability. Here we present planar graphene/h-BN-heterostructure tunneling devices utilizing thin h-BN as a tunneling insulator. With much improved h-BN-tunneling-junction stability, we are able to probe all possible phonon modes of h-BN and graphite/graphene at Γ and K high symmetry points by inelastic tunneling spectroscopy. Additionally, we observe that low-frequency out-of-plane vibrations of h-BN and graphene lattices are significantly modified at heterostructure interfaces. Equipped with an external back gate, we can also detect high-order coupling phenomena between phonons and plasmons, demonstrating that h-BN-based tunneling device is a wonderful playground for investigating electron-phonon couplings in low-dimensional systems.

Entities:  

Year:  2015        PMID: 26563740      PMCID: PMC4643226          DOI: 10.1038/srep16642

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Investigating phonons, the fundamental vibrational modes of a crystal lattice, is important to understand many physical mechanisms such as heat capacity, thermal and electrical conductivities. Especially in low-dimensional systems such as graphene- and carbon nanotube-based devices, electron-phonon scattering has been considered as the major source for limiting conductivity12. Along with other experimental methods to probe phonon excitations such as neutron scattering3, x-ray scattering4 and electron energy-loss spectroscopy5, Raman spectroscopy has been widely used to characterize lattice motions because of its easy-and-quick application and high sensitivity even for nanoscale devices6. However, Raman-active phonons are limited to a few vibration modes due to stringent optical selection rules. Inelastic electron tunneling spectroscopy (IETS) has proven its capability in probing phonon excitations without selection rule limitations789. Initial IETS studies on graphene devices with scanning tunneling microscope (STM) measurements, however, have detected no more than one or two phonon excitations because of weak IETS signals and the limited stability of tunneling junction composed of the STM probe, vacuum barrier and graphene devices10. Recently, Natterer et al. reported that up to six phonon excitations of graphene can be observed by improving IETS signal/noise ratio in STM measurements11. Hexagonal-boron nitride (h-BN) has been acclaimed as a superb gate-insulating material for low-dimensional electronic and optical devices with graphene1213, single-walled carbon nanotubes14 and transition metal dichalcogenides (TMDC)15 enabling the engineering of low-dimensional platforms for novel electronic properties such as Hofstadter butterfly effects161718. Thus, investigating phonons of h-BN and its hybrid structures are greatly needed, not only for understanding physical properties of h-BN-based nanoscale devices but also for developing new electronic and optical devices. Although there are several experimental and theoretical reports on h-BN phonons19202122232425, discussions on phonon excitations of h-BN-based heterostructures are sparse with a few of experimental reports on Raman-active E2g phonons26 and theoretical expectations from the first principle calculations27. Moreover, most of experimental reports on h-BN relied on optical methods due to a large band gap (≈6 eV) of h-BN24, which makes IETS studies with STM challenging. In this article, we present electron-tunneling spectroscopy measurements of gated single-layer graphene devices with a thin h-BN layer as a tunneling insulator28293031. By adapting a conventional planar-tunneling scheme, we establish a stable tunneling junction with high-quality h-BN, which is less sensitive to experimental noises such as mechanical vibrations, improving IETS signal/noise ratio in a significant manner. We are able to measure twelve phonon excitations below 200 meV, which we assign to the phonons of h-BN, graphite and graphene/h-BN heterostructure (Table 1). In our tunneling devices, electrons tunnel through thin (3 or 4 layers) h-BN insulator, which makes it possible to detect h-BN phonons by IETS for the first time. We observe all possible phonon excitations of h-BN at the high symmetry points of and in the Brillouin zone. Quite surprisingly, the majority of phonon excitations at the symmetry point are missing, opposite to the previous IETS studies with STM measurements1132, suggesting that tunneling electrons in our h-BN planar junctions obey parallel-momentum conservation and would be less susceptible to momentum-changing scattering events. When graphene and h-BN layers are brought together forming a graphene/h-BN heterostructure, it is found that low-frequency out-of-plane motions of h-BN and graphene lattices are significantly altered at the graphene/h-BN interface: ZA modes of both h-BN and graphene phonons become hardened. We calculate phonon dispersions of h-BN, graphite and graphene/h-BN heterostructure with density functional perturbation theory (DFPT) finding good agreement with experimental data. Finally, we are able to identify charge-density-dependent excitations with energies higher than 200 meV, suggesting that the overtone excitations can be due to multi-phonon scattering processes combined with charge-density-dependent excitations, plasmons8.
Table 1

Phonon energies obtained from IETS spectra with thin h-BN as a tunneling insulator.

Peak No.Position (mV)FWHM (mV)PhononsDFT (meV)From reference (meV)
116.7 ± 0.111.6 ± 0.6Г4+ (h-BN)/Г6−, Г2− (graphite)11/141619/154
233.5 ± 0.37.8 ± 1.0Г6−, Г2− (graphene/h-BN hetero)36NA
346.4 ± 0.412.6 ± 1.7K6 (graphene/h-BN hetero)46NA
466.7 ± 1.77.8 ± 6.9K6 (graphite/graphene)67674
583.8 ± 0.318.1 ± 1.5M2+ (graphene/h-BN hetero)86NA
6102.9 ± 0.39.4 ± 1.5Г3−, Г4+ (h-BN)/Г4+ (graphite)99/11010219 /1024
7124.7 ± 2.419.7 ± 5.8K5 (h-BN)/K2 (graphite)129/12413321/12432
8134.8 ± 0.611.5 ± 2.5K5 (graphene/h-BN hetero)140NA
9156.4 ± 0.27.6 ± 0.7K1,2 (h-BN)15515819
10167.9 ± 0.112.6 ± 0.4Г5+ (h-BN)16716919
11186.3 ± 0.19.3 ± 0.4LO overbending (h-BN)18418519
12199.2 ± 0.27.1 ± 0.7Г5+/LO overbending (graphite)198/20220032

Position and FWHM for each peak are extracted from multi-peak Lorentzian fitting and the uncertainty represents one standard deviation. Listed are the most plausible phonons marked with red stars in Fig. 3 and DFPT-calculated energies at the high symmetry points in the Brillouin zone. Referenced energies for h-BN phonons are taken from Reich et al.19 and Kern et al.21, and those for graphite and graphene are from Mohr et al.4 and Vitali et al.32.

The inset of Fig. 1a displays the schematic of our h-BN-based tunneling devices with both thick h-BN (>20 nm) and SiO2 (300 nm) as gate insulators, and a doped Si substrate as bottom gate. Sample bias (Vb) is applied to the top probe, and tunneling current as well as differential conductance (G = dI/dVb) are monitored through the graphene layer. We use a thick-and-narrow graphite flake as the tunneling probe, which shows superior tunneling characteristics to metal electrodes333435. We ensure that tunneling junctions remain clean by sequentially employing a dry-transfer method and high-temperature annealing12 (Methods).
Figure 1

Tunneling spectra with thin h-BN as a tunneling insulator.

(a) (inset) Schematic of our tunneling devices utilizing thin h-BN as a tunneling insulator. Back-gate voltage (Vg) is applied through Si/(300 nm)SiO2 substrate and thick (>20 nm) h-BN layers. Sample bias (Vb) is applied to the top-graphite probe and tunneling current is monitored through bottom graphene. Current-voltage (I-Vb) tunneling spectrum measured at Vg = −40 V and T = 5.9 K. (b) Differential conductance (G = dI/dVb) curve measured with an AC-excitation voltage, Vrms = 1 mV at f = 433.3 Hz. Tunneling spectra presented in Fig. 1a,b are measured simultaneously. Orange arrows indicate the Fermi level (EF) and the Dirac point (ED) at Vg = −40 V. (c) Conductance derivative (dG/dVb) numerically obtained from the spectrum presented in Fig. 1b (brown-bold curve). dG/dVb spectra as a function of Vg in steps of ΔVg = 2 V in hole-doped (lower part) and electron-doped (upper part) regions. IETS signals are seen as peaks and dips, positioned symmetrically around EF.

Figure 1a–c show tunneling spectra curves from one of single-layer graphene devices at T = 5.9 K. We apply small AC-excitation voltage (Vrms = 1 mV, f = 433. 3 Hz) to DC sample bias and measure both I-Vb (Fig. 1a) and G = dI/dVb (Fig. 1b). In addition, the conductance derivative, dG/dVb = d2I/dVb2, directly proportional to the IETS signal can be measured simultaneously by another lock-in synchronized at the frequency of 2f. The most prominent structures in dI/dVb spectrum (Fig. 1b) are the dip in the vicinity of Vb = −300 mV where the charge neutrality point (ED) of graphene is expected to be at gate voltage Vg = −40 V and the dip at the Fermi level, EF (Vb = 0 mV). Additionally, we can find several kinks in dI/dVb around EF within |Vb| ≤ 200 mV. These features become more prominent in the IETS signal dG/dVb (Fig. 1c), appearing as peaks and dips at different polarities of Vb. To analyze spectrum features in detail, we obtain a series of tunneling spectra while varying the charge density with Vg. Figure 1c shows a sequence of dG/dVb curves at gate voltages ranging from Vg = −50 V to −40 V (lower part, hole doping) and Vg = 50 V to 40 V (upper part, electron doping) with a spacing of ΔVg = 2 V. Without any difficulties, we can identify that there exists two types of tunneling features, with and without density dependence. As expected, the feature related to ED changes its position upon varying charge density, as marked with red dotted arrows. However, most spectra features within |Vb| ≤ 200 mV barely change their positions in sample bias with a little variation in intensity even though charged carriers switch polarity from electrons to holes in the full range of gate voltages, −50 V ≤ Vg ≤50 V. More details of the tunneling spectra can be seen in the gate mappings. As proven in the previous measurements363738, the two-dimensional display of tunneling spectra as functions of Vg and Vb reveals a plethora of electronic structures not just limited to EF but also extended to both empty (Vb >0 mV) and filled (Vb <0 mV) states. In the |dG/dVb| gate mapping (Fig. 2a), the position of ED can be easily identified as the dark-oblique line running diagonally across the map. We point out that the position of ED in our tunneling devices is determined by not only the displacement fields through h-BN tunneling and back-gate insulators but also by quantum capacitance of graphene31. However, detailed analysis of this subject is out of scope for the current report and will be presented elsewhere.
Figure 2

dG/dVb spectra featuring IETS phonon excitations.

(a) High resolution |dG/dVb| gate mapping at T = 5.9 K varying Vg from Vg = −50 V to Vg = 50 V with a step of ΔVg = 0.4 V. The positions of EF and ED are marked with white and dark-blue arrows, respectively. We take the absolute values in dG/dVb to highlight the symmetric IETS features around EF. (b), Magnified image of the dotted-white box region in Fig. 2a. Each parallel line marked with a white arrow represents individual IETS excitation. (c) Averaged dG/dVb curve from 101-individual tunneling spectra in Fig. 2a from Vg = −50 V to Vg = −10 V (black circles). Red overlaid line and brown curves are from multi-peak Lorentzian fittings without baseline subtraction. The overhanging curve (blue circles) is the averaged dG/dVb spectra from Vg = 10 V to Vg = 50 V.

We now focus on the inelastic tunneling features, which do not show dependence on Vg. As seen in Fig. 1c, most features in dG/dVb barely move in Vb while varying Vg, which can be further confirmed in the mappings of Fig. 2a,b as structures running parallel to the axis of Vg. It is well known that the tunneling current is enhanced by inelastic electron tunneling effects which form additional tunneling channel at the threshold energy for respective excitation39. Thus, signals related to IETS can be identified as symmetric kinks in G = dI/dVb (Fig. 1b), and peaks and dips in the second derivative of the tunneling spectra, dG/dVb = d2I/dVb2 (Fig. 1c)832. In Fig. 2a, we intentionally convert dips to peaks by taking absolute values in |dG/dVb| to highlight the symmetry of IETS features around the EF. Figure 2b is the magnified image of the dotted-white box region in Fig. 2a. In total, we are able to identify twelve independent IETS features within the window of |Vb| ≤ 200 mV, which we ascribe to the inelastic tunneling signals due to the phonons of h-BN, graphite and graphene/h-BN heterostructure. Averaging out individual dG/dVb spectra at different Vg (Fig. 2a) proves to be quite useful to identify IETS excitations11 since gate-voltage independent IETS signals remain as either strong peaks or dips but gate-voltage dependent features such as those relating to ED become diminished. To analyze phonon modes more accurately, however, we choose the area where gate-dependent features are less conspicuous as shown in Fig. 2b. The black circles in Fig. 2c are the averaged dG/dVb curve from 101-independent dG/dVb spectrum in the gate voltage range from Vg = −50 V to Vg = −10 V with the spacing of ΔVg = 0.4 V. To illustrate the symmetry of the phonon-related IETS signals, averaged dG/dVb spectra in the filled (Vb < 0 mV) state obtained from Vg = 10 V to Vg = 50 V are also plotted (blue circles in Fig. 2c). We extract the positions and FWHMs of twelve excitations with multi-peak Lorentzian fitting and the overlaid red line in Fig. 2c is the direct summation of twelve independent Lorentzian graphs (brown curves). First, we compare our data with DFPT-calculated phonon dispersions of 4-layer h-BN (Fig. 3a), which has a few of characteristic phonon modes distinctive from graphite and graphene phonons (Fig. 3b). As indicated in Fig. 3a, we can identify all h-BN phonons at and near high symmetry points and . For example, the strongest peak in tunneling spectra at ≈168 mV (P10 in Fig. 2) is attributed to the in-plane optical phonon mode (LO/TO) of h-BN, which is Raman-active E2g phonon at the frequency of ≈1365 cm−1 (≈169 meV)1940. Additionally, out-of-plane optical (or ) (ZO) and acoustic (ZA) phonon modes can be assigned to the peaks at P6 (≈103 meV) and P1 (≈17 meV), respectively. We can argue that phonon mode (ZA, P1) becomes hardened because 4-layer h-BN is encapsulated with relatively thick top graphite probe and bottom h-BN gate insulators. We can recognize several -point phonon modes as well: in-plane optical (LO, P9) and (TO, P8), in-plane acoustic (LA, P7) and (TA, P6), and out-of-plane optical (ZO, P4) and acoustic (ZA, P2) phonon modes. Note that some of phonon modes especially out-of-plane acoustic (ZA) phonons are slightly off from theoretical expectations, which we relate to graphene/h-BN heterostructures. We will discuss how these phonon modes are influenced by nearby layers later. In addition, we tend to assign the peak at ≈186 mV (≈1500 cm−1, P11) to the overbending mode of the in-plane optical (LO, S1, T3) phonons of h-BN, as marked with a red star in Fig. 3a. Reich et al.19 observed similar LO-overbending effects from bulk h-BN crystals at the frequency of 1470 cm−1 (≈182 mV) with resonant Raman measurements, and Kern et al.21 theoretically argued that the highest point (≈1490 cm−1, 185 mV) of LO-phonon branch is formed not at the high symmetry point of but in between and resulting LO-overbending branch.
Figure 3

Phonon dispersions of h-BN, graphite/graphene and graphene/h-BN heterostructure.

(a) DFPT-calculated phonon dispersions of h-BN (4 layers) (b) graphite/graphene and (c) AA-stacked graphene/h-BN heterostructure. The dashed blue and red lines in Fig. 3c are phonon dispersions of out-of-plane optical and acoustic branches of free-standing single-layer h-BN and graphene, respectively, for comparison. The positions and widths of green-shaded strips represent energy and FWHM of each IETS peak in Fig. 2. Red stars indicate the most plausible phonon modes seen in our data, blue circles are other available phonon modes at high symmetry points (Table 1). Black stars in Fig. 3a,b mark the -point phonons which are not seen in our data (Fig. 2). Each phonon mode is labeled with notations based on the symmetry group.

As mentioned previously, we employed graphite flake as a tunneling probe, therefore we can expect that our data should have signatures of graphite phonons. Indeed, we can identify several graphite phonons at the high symmetry points of and : in-plane optical (LO/TO, P12) and out-of-plane optical (ZO, P6) phonon modes, and in-plane optical (TO, P10) , (TO, P9), and in-plane acoustic (TA, P7) phonon modes along with out-of-plane optical/acoustic (ZO/ZA, P4) phonon modes. It is worth mentioning that phonon dispersions for graphite and single-layer graphene are almost identical (Fig. 3b). Thus, we could assign above-mentioned excitations to graphene phonons as well, except the out-of-plane acoustic (or ) (ZA, P1) phonon mode which is solely ascribed to the layered structure of graphite. Note that several excitations could have contributions from both h-BN and graphite/graphene phonons because of the structural similarity of h-BN and graphite/graphene. However, the peak at ≈199 mV (P12) are exclusively from the phonon mode of graphite/graphene, which is Raman-active E2g phonon (G peak) at ≈1580 cm−1 (≈196 meV)6, and LO-overbending (≈202 mV) around point32. It is quite surprising that the majority of phonon excitations of graphite/graphene at the symmetry point are missing differing from the previous IETS studies with STM tunneling measurements101132, except the phonon (ZO, P5) mode. For example, phonon (TO, ≈177 meV) mode of graphite/graphene marked with a black star in Fig. 3b is considered as the most populated phonon mode (Fig. S1), but no sign of phonons are observed. Additionally, phonon (ZA, ≈58 meV) mode, one of the conspicuous phonons with large density-of-states (DOS), is missing in our IETS measurements. -phonon suppression is observed in h-BN phonons as well. Based on DFPT calculation (Fig. S1) and other previous reports202141, the phonon mode with the largest DOS is from the TO branch connecting (, ) and () points, which could be linked to the excitation at ≈156 meV (P9). However, the strongest IETS signal in our devices is from the phonon mode at ≈168meV, which has considerably lower phonon DOS compared to other -point phonons (Fig. S1). In addition, we can argue that (or ) phonon (TA) mode at ≈68 meV is also missing in the tunneling spectra given the fact that the excitation at ≈67 meV (P4) is the weakest IETS feature (Fig. 2c), which could be solely ascribed to the phonon modes of h-BN and graphite/graphene. In both graphene and graphite, all available electronic states of tunneling electrons are located in the vicinity of the point in the Brillouin zone. Thus, significant amount of momentum relaxation should be required in order for electrons to interact with or to be scattered by the phonons at point. On the contrary, phonons at the point can scatter electrons without changing crystal momentums (intra-valley scattering). Even though electrons require momentum change (inter-valley scattering) to interact with phonons at the point, the electron-phonon scattering rate for the phonons at point could be higher than the case for -point phonons, which require multiple electron-phonon scatterings. Note that the excitation at ≈84 meV (P5), which we tentatively assign to the phonon (ZO) mode, is one of the broadest excitations among twelve peaks with ≈18 mV FWHM. Here, we conclude that the tunneling in our planar h-BN junctions would be less susceptible to momentum-changing scattering events, especially parallel momentums during tunneling process, contrast with STM measurements in which one electrode is an atomically sharp non-planar metal tip, which breaks parallel-momentum conservation7101132. When graphene and h-BN layers form heterostructure, it is expected that the lattice dynamics of graphene and h-BN, especially low-frequency out-of-plane modes, are influenced by the nearby layers. Indeed, we find that graphene/h-BN heterostructure shows phonon dispersions different from those of free-standing graphene and h-BN. Figure 3c displays the DFPT-calculated phonon dispersions of graphene/h-BN heterostructure. For the sake of simplicity, we consider single-layer graphene is aligned on top of h-BN layer in an AA stacking, with graphene atoms (unit length: 0.245 nm) relaxed to h-BN lattice (unit length: 0.251 nm). To compensate the lattice deformation (strains) due to the structural mismatch, we calculate Grüneisen parameters for free-standing graphene and h-BN, and obtain the phonon modes of the unstrained graphene/h-BN heterostructure (Fig. 3c) (Methods). First, we notice that out-of-plane acoustic-phonon branch of h-BN becomes hardened shifting phonon (ZA) mode to higher frequency (≈46 meV), which can be assigned to the previously-unassigned peak at ≈47 mV (P3). Second, out-of-plane acoustic (or ) phonon (ZA) mode of graphene is blue-shifted to a frequency of ≈36 meV (P2). Third, phonons (ZO) of graphene become hardened, shifting closer to the experimental data at ≈86 meV (P5). Last, graphene LA-phonon branch becomes slightly softened, moving phonons closer to the peak at ≈140 meV (P8). We also calculate phonon dispersions of AB-stacked graphene/h-BN heterostructure, which reveal out-of-plane motions of graphene and h-BN lattices are affected less than those at the AA-stacked interface (Fig. S2). It is safe to assume, however, that both AA- and AB-stacked graphene/h-BN junctions coexist in our tunneling junctions, where active tunneling area can be as large as the area of the graphite probe which is up to several microns. Table 1 lists a summary of observed IETS excitations with the most plausible phonons from h-BN, graphite and graphene/h-BN heterostructure based on the available phonon DOS. In the table, we also list the DFPT-calculated phonon energies compared with other theoretical expectations21 and experimental observations41932, which show good agreement with our data. We now discuss charge-density-dependent IETS spectra. As indicated with dotted-yellow boxes in Fig. 2a and displayed in magnified dG/dVb mappings in Fig. 4, we can identify at least four (three) excitations change positions in positive (negative) Vb as Vg varies, differing from phonons that do not change their position in energy. Thus, we can argue that observed charge-density-dependent IETS features could be due to multilevel scattering processes involved with charge-density-independent phonons and charge-density-dependent excitations such as plasmons. To extract the baseline-phonon excitation, we use an exponential fit with Vb,i (Vg) = Ei + α exp^(β Vg), and find E1 ≈ 214 mV (E2* ≈ −201 mV) for the empty (filled) state excitation in Fig. 4a,b. Other red-dashed lines at lower energies are fitted to the data using the same fitting parameters a and b, obtaining E2 ≈ 200 mV, E3 ≈ 181 mV (E3* ≈ −183 mV) and E4 ≈ 167 mV (E4* ≈ −170 mV) in positive (negative) Vb. As displayed in Fig. 4, excellent fits suggest that the charge-density-dependent excitations, which are unclear at this moment, should be the same for all observed features. Note that some of the baseline excitations such as E1, E2 and E2* are higher than the highest phonon energy of our systems (≈200 mV, graphite phonons), suggesting that these overtone modes could be due to multi-phonon scattering events. Interestingly, we are able to find the combinations of two-phonon modes, comparable to each of the baseline excitation: E1 with P3 + P10 (≈215 mV), E2 (E2*) with P3 + P9 (≈204 mV), E3 (E3*) with P3 + P8 (≈183 mV), and E4 (E4*) with P3 + P7 (≈174 mV) sharing P3, out-of-plane acoustic phonons of h-BN as a common excitation.
Figure 4

IETS spectra dependent on charge density.

(a,b) Magnified dG/dVb gate-mapping images from the dotted-yellow box areas in Fig. 2a for the empty state (Vb >0 mV, a) and the filled state (Vb < 0 mV, b). Yellow squares mark the peak positions of the highest overtone excitation at different Vg and red-dotted lines are from the numerical fitting based on the peak positions for E1 (a) and E2* (b), respectively. Other red-dotted lines for E2, E3 (E3*) and E4 (E4*) are fitted to the data as described in the text.

In summary, we have performed inelastic electron tunneling spectroscopy studies of graphene/h-BN heterostructures with a thin h-BN layer as a tunneling insulator and observed all the available phonon modes of h-BN at the and high symmetry points by electrical transport measurements for the first time. We find out out-of-plane motions of graphene and h-BN lattices become hardened when graphene/h-BN heterostructure is formed. Additionally, we observe charge-density-dependent excitations, which could be related to both multi-phonon and plasmon-related scattering processes. With IETS employing h-BN as a tunneling insulator, we have demonstrated that h-BN-based tunneling devices become a powerful experimental playground for exploring not only novel electronic structure283042 but also various types of collective excitations in graphene/h-BN hybrid devices as well as other low-dimensional materials such as TMDCs and carbon nanotubes. Moreover, benefited by much-improved-stable tunneling junctions, our tunneling devices make it possible to probe electronic and mechanical properties of nanoscale devices with applications of external variants such as magnetic fields, electro-magnetic waves, temperature, and pressure where previous tunneling experiments have been limited.

Methods

Device Fabrication

Graphene/h-BN tunneling devices are fabricated using multiple steps of dry-transfer method developed by Dean et al.12. At first, bottom thick h-BN (>20 nm) are mechanically exfoliated from high-quality single crystals and transferred on thermally grown 300 nm thick SiO2 on Si. Next, single-layer graphene, thin h-BN (3 or 4 layers) and graphite flakes are sequentially transferred on top of bottom h-BN insulator. For each step, we first prepare Si substrates spin coated with water-soluble Poly-StyrenSulfonic (PSS) acid and PMMA. Desirable flakes mechanically exfoliated on the polymer-stacked Si substrates are examined under an optical microscope and later transferred to pre-defined locations with micro-manipulating transfer stage. Before dissolving PMMA in acetone, we bake out the samples at 200 °C for 2 minutes to promote the adhesion between transferred layers. It is critically important to have clean and flat interfaces for high-quality tunneling devices. To further remove any polymer residues and reduce the number of bubbles formed in 2-D heterostructures, we anneal the samples in the mixture of Ar and H2 (9:1 ratio by flow rate) at the elevated temperature 350 °C for more than 4 hours. In total, we applied dry-transfer method three times and high-temperature annealing four times before loading the samples in the cryostat for measurements. Additional annealing process is performed after fabricating Ti/Au (5 nm/55 nm) electrodes with electron beam lithography.

Numerical Calculation

Phonon dispersions of h-BN, graphite/graphene and graphene/h-BN heterostructures are calculated using density functional perturbation theory (DFPT)4344 implemented in the Vienna Ab initio Simulation Package (VASP)45 within local density approximation (LDA)46. The projector augmented pseudopotentials (PAW)47 are used and the plane-wave cutoff in the plane-wave expansion is 500 eV. We use 6 × 6 × 1 supercell for calculation. The calculated equilibrium lattice constants for graphene and h-BN are aGR = 0.245 nm and a = 0.251 nm, respectively, which are close to the experimentally observed values within 1%124. In order to calculate phonon dispersions of graphene/h-BN heterostructure, we use the 6 × 6 × 2 supercell, assuming that single-layer graphene is commensurately aligned on top of h-BN layer in an AA-stacking direction. With obtained Grüneisen parameters for free-standing graphene (γGR) and h-BN (γ) layer, we calculate the phonon modes of the unstrained graphene/h-BN heterostructure, as shown in Fig. 3c. For comparison, in the compressive-strained-h-BN/graphene heterostructure (aGR = 0.245 nm), the phonon modes of h-BN are increased by <γ > = 1.13% in average compared with the unstrained graphene/h-BN heterostructure. Additionally, for the tensile-strained-graphene/h-BN heterostructure (aBN = 0.251 nm), the phonon modes of graphene is decreased by <γGR> = 1.43% in average, with respect to the unstrained graphene/h-BN heterostructure. Although AB-stacked graphene/h-BN heterostructure is expected to be more stable than its counterpart AA-stacked heterostructure27, the calculated phonon dispersions of the AA-stacked heterostructure are found to be in better agreement with our observations. However, we can safely assume that both AA-stacked and AB-stacked graphene/h-BN heterojunctions exist in our tunneling junction since our graphene/h-BN heterostructures are fabricated using dry-transfer method12 without additional efforts on the alignment of crystalline direction with graphene and h-BN lattices, resulting in the atomic-stacking sequence is arbitrary.

Additional Information

How to cite this article: Jung, S. et al. Vibrational Properties of h-BN and h-BN-Graphene Heterostructures Probed by Inelastic Electron Tunneling Spectroscopy. Sci. Rep. 5, 16642; doi: 10.1038/srep16642 (2015).
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4.  Projector augmented-wave method.

Authors: 
Journal:  Phys Rev B Condens Matter       Date:  1994-12-15

5.  Interaction phenomena in graphene seen through quantum capacitance.

Authors:  G L Yu; R Jalil; Branson Belle; Alexander S Mayorov; Peter Blake; Frederick Schedin; Sergey V Morozov; Leonid A Ponomarenko; F Chiappini; S Wiedmann; Uli Zeitler; Mikhail I Katsnelson; A K Geim; Kostya S Novoselov; Daniel C Elias
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-11       Impact factor: 11.205

6.  Raman spectroscopy as a versatile tool for studying the properties of graphene.

Authors:  Andrea C Ferrari; Denis M Basko
Journal:  Nat Nanotechnol       Date:  2013-04       Impact factor: 39.213

7.  Massive Dirac fermions and Hofstadter butterfly in a van der Waals heterostructure.

Authors:  B Hunt; J D Sanchez-Yamagishi; A F Young; M Yankowitz; B J LeRoy; K Watanabe; T Taniguchi; P Moon; M Koshino; P Jarillo-Herrero; R C Ashoori
Journal:  Science       Date:  2013-05-16       Impact factor: 47.728

8.  Twist-controlled resonant tunnelling in graphene/boron nitride/graphene heterostructures.

Authors:  A Mishchenko; J S Tu; Y Cao; R V Gorbachev; J R Wallbank; M T Greenaway; V E Morozov; S V Morozov; M J Zhu; S L Wong; F Withers; C R Woods; Y-J Kim; K Watanabe; T Taniguchi; E E Vdovin; O Makarovsky; T M Fromhold; V I Fal'ko; A K Geim; L Eaves; K S Novoselov
Journal:  Nat Nanotechnol       Date:  2014-09-07       Impact factor: 39.213

9.  Flexible and transparent MoS2 field-effect transistors on hexagonal boron nitride-graphene heterostructures.

Authors:  Gwan-Hyoung Lee; Young-Jun Yu; Xu Cui; Nicholas Petrone; Chul-Ho Lee; Min Sup Choi; Dae-Yeong Lee; Changgu Lee; Won Jong Yoo; Kenji Watanabe; Takashi Taniguchi; Colin Nuckolls; Philip Kim; James Hone
Journal:  ACS Nano       Date:  2013-08-14       Impact factor: 15.881

10.  Resonant tunnelling and negative differential conductance in graphene transistors.

Authors:  L Britnell; R V Gorbachev; A K Geim; L A Ponomarenko; A Mishchenko; M T Greenaway; T M Fromhold; K S Novoselov; L Eaves
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

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  3 in total

1.  Hexagonal Boron Nitride Tunnel Barriers Grown on Graphite by High Temperature Molecular Beam Epitaxy.

Authors:  Yong-Jin Cho; Alex Summerfield; Andrew Davies; Tin S Cheng; Emily F Smith; Christopher J Mellor; Andrei N Khlobystov; C Thomas Foxon; Laurence Eaves; Peter H Beton; Sergei V Novikov
Journal:  Sci Rep       Date:  2016-09-29       Impact factor: 4.379

2.  Electron-Phonon Coupling as the Source of 1/f Noise in Carbon Soot.

Authors:  M Mihaila; D Ursutiu; I Sandu
Journal:  Sci Rep       Date:  2019-01-30       Impact factor: 4.379

3.  Direct probing of phonon mode specific electron-phonon scatterings in two-dimensional semiconductor transition metal dichalcogenides.

Authors:  Duk Hyun Lee; Sang-Jun Choi; Hakseong Kim; Yong-Sung Kim; Suyong Jung
Journal:  Nat Commun       Date:  2021-07-26       Impact factor: 14.919

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