Giorgio
Benedek
ab,
Joseph R.
Manson
ac and
Salvador
Miret-Artés
*ad
aDonostia International Physics Center (DIPC), Paseo Manuel de Lardizabal, 4, 20018 Donostia-San Sebastián, Spain
bDipartimento di Scienza dei Materiali, Università di Milano-Bicocca, Via Cozzi 55, 20125 Milano, Italy
cDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina 29634, USA
dInstituto de Física Fundamental, Consejo Superior de Investigaciones Científicas, Serrano 123, 28006 Madrid, Spain. E-mail: s.miret@iff.csic.es
First published on 5th November 2020
Recent theory has demonstrated that the value of the electron–phonon coupling strength λ can be extracted directly from the thermal attenuation (Debye–Waller factor) of helium atom scattering reflectivity. This theory is here extended to multivalley semimetal systems and applied to the case of graphene on different metal substrates and graphite. It is shown that λ rapidly increases for decreasing graphene–substrate binding strength. Two different calculational models are considered which produce qualitatively similar results for the dependence of λ on binding strength. These models predict, respectively, values of λHAS = 0.89 and 0.32 for a hypothetical flat free-standing single-layer graphene with cyclic boundary conditions. The method is suitable for analysis and characterization of not only the graphene overlayers considered here, but also other layered systems such as twisted graphene bilayers.
The ability of atom scattering to measure λ relies on the fact that colliding atoms are repelled by the surface electron density arising from electronic states near the Fermi level, and energy is exchanged with the phonon gas primarily via the electron–phonon coupling. The electron–phonon coupling constant λ at the surface is defined as the average over the phonon mode-dependent contributions λQ,ν where Q is the phonon parallel wave vector, ν the branch index, and N is the total number of atoms of the crystal.13
It has been theoretically demonstrated that the intensity of peak features due to specific (Q,ν) phonon modes as observed in inelastic He atom scattering spectra are individually proportional to their corresponding λQ,ν.14,15 This prediction has been verified through detailed comparisons of calculations with experimental He scattering measurements of multiple layers of Pb on a Cu(111) substrate.14,15 Since the thermal attenuation of any quantum peak feature in the atom scattering spectra is due to an average over the mean square displacement of all phonon modes weighted by the respective electron–phonon coupling, it is not surprising that such attenuation can be related to the average λHAS = 〈λQ,ν〉.16–19 This will be discussed in more detail below in Section 2 where the theory is briefly outlined. In Section 3 values of λHAS are obtained from the available He atom scattering data on C(0001). Section 4 presents an analysis of λHAS from the available data on Gr adsorbed on close-packed metal substrates by analyzing the thermal attenuation of the specular He atom scattering peaks. Two different calculational models are considered and both show that the λHAS values exhibit a similar and interesting relationship when compared with the relative binding strengths of the graphene to the metal surface. For binding strengths approaching zero this leads to predictions for the value of λHAS for free-standing single-layer graphene. Finally, a discussion is presented of the shear-vertical (ZA) mode of substrate-supported thin layers such as Gr/metals, and how it compares to the flexural mode of a thin flake of the same unsupported two dimensional (2D) material with free-boundary conditions. A summary and a few conclusions are drawn in Section 6 at the end of this work.
I(T) = I0exp{−2W(kf,ki,T)}, | (1) |
The DW exponent is expressed by 2W(kf,ki,T) = 〈(Δk·u*)2〉T, where Δk = kf − ki is the scattering vector, u* is the effective phonon displacement felt by the projectile atom upon collision, and 〈⋯〉T denotes the thermal average. However, He atom scattering experiments typically use energies below 100 meV. The atoms do not penetrate the surface, and in fact are exclusively scattered by the surface electron density a few Å above the first layer of atomic cores. Thus the exchange of energy through phonon excitation occurs via the phonon-induced modulation of the surface electron gas; in other words via the electron–phonon (e–ph) interaction. This implies that the effective displacement u* is not that of the atom cores, such as would be measured in a neutron or X-ray diffraction experiment, but is the phonon-induced displacement of the electron distribution outside the surface at the classical turning point where the He atom is reflected.16,18 However, the effective mean square displacement of the electron density is related directly to that of the atom cores and shares many of its properties. Notably, for a crystal obeying the harmonic approximation and for sufficiently large temperature (typically temperatures comparable to or greater than the Debye temperature) 〈(Δk·u*)2〉T is to a very good approximation linear in T, and the proportionality between λHAS and the DW exponent, for the simplest case of specular diffraction, reads as16
(2) |
Given the form of eqn (2) it is useful to define the dimensionless quantity ns as
(3) |
(4) |
In the case of supported graphene there is certain amount of charge transfer to and from the Dirac cones, depending on the difference between the work function of graphene and that of the substrate. The work function of self-standing graphene of 4.5 eV is smaller than that of metal surfaces considered here.24 Therefore they should all act as acceptors. Angle resolved photoelectron scattering (ARPES) data show, however, that Ir(111) (H. Vita et al.),25 Pt(111) (P. Sutter et al.),26 and Ni(111) (A. Alattis et al.),27 act as acceptors with respect to graphene, whereas Ru(0001) (Katsiev et al.),28 and Cu(111) (Walter et al.)29 act as donors. Former HAS studies on Gr/Ru(0001) have provided evidence that the tail of the substrate electron charge density actually extends beyond the graphene.7 Thus the substrate surface work function has been used in eqn (4), its role being to account for the steepness of the He-surface repulsive potential within the WKB approximation.16,18 In either electron or hole doping each Dirac cone contributes a DOS at the Fermi level, , with kF the Fermi wavevector referred to a K-point of the surface Brillouin zone (SBZ), and vF the Fermi velocity. By identifying with the cyclotron effective mass for doped graphene ,30 this gives ns = 1 for a single Dirac cone. Although only one third of a cone is within the SBZ, so that diametric electron transitions at the Fermi level connect points in neighboring SBZs, the latter are equivalent to umklapp transitions with G vectors in the ΓM directions between different cone thirds inside the SBZ (umklapp intervalley transitions). With the inclusion of these transitions, ns = 6 is the appropriate value.
It is noted however that these transitions couple to phonons near the zone center and give therefore a modest contribution to λ. A thorough ARPES study by Fedorov et al. of graphene on Au(111), doped with alkali and Ca donor impurities, and electron concentrations ranging from 2 × 1014 (for Cs) to 5 × 1014 electrons per cm2 (for Ca), shows that the major contribution to λ actually comes from phonons near the zone boundaries KMK′.31 The derived Eliashberg function, providing the e–ph-weighed phonon DOS projected onto the impurity coordinates exhibits resonances with graphene phonons whose wavevectors arguably correspond to good Fermi surface nestings. The fact that the separation between the ZA and the optical phonon peaks increases with doping from that for Cs, near the K-point, to the one at smaller wavevectors for the largest Ca doping suggests that the e–ph coupling is mostly due to KK′ intervalley transitions, either direct along the six edges (thus counting 3) or umklapp along the three long diagonals. First principle calculations by Park et al. appear to confirm the role of these transitions.32 This is just the intervalley e–ph coupling mechanism introduced by Kelly and Falicov in the 1970s for charge density wave transitions in semiconductor surface inversion layers.33–35 In this case ns = 6 enumerates the different nesting conditions contributing to the e–ph coupling strength λ, and is here adopted for graphene and graphite, independently of whether they are electron- or hole-doped.
In addition to the work of Federof et al. mentioned above,31 Calandra and Mauri have demonstrated that three optical branches of relatively large energy of 160 meV, located at the Q points of the Dirac cones, make the major contributions to the total e–ph interaction in supported graphene.36 This agrees with the Eliashberg function for quasi-free standing K-doped graphene on Au reported by Haberer et al. from an ARPES analysis,37 which is concentrated in the optical region between 150 and 200 meV in both and directions (in the latter with minor contributions from the acoustic modes). Since all available HAS measurements have been performed around values of kBT well below the optical phonon energies, the usual high-Teqn (2) for the Debye–Waller exponent should be rewritten with its full temperature dependence as18
(5) |
(6) |
(7) |
(8) |
The high temperature harmonic approximation for λHAS of eqn (4) is valid when the average phonon energy sampled by the e–ph interaction is lower than kBT over the temperatures at which the DW exponent is measured. In general this condition is met for soft materials such as simple metals. On the other hand one could call hard materials those for which high energy optical phonons are the dominant contributors to the e–ph interaction. Representative of such hard materials are the supported graphene systems considered here, and the equal frequency approximation of eqn (7) is more appropriate.
A value of 160 meV shall be used for ω0, as calculated by Calandra and Mauri for the optical modes of supported graphene around the K-point of the surface Brillouin zone, i.e., the ones which mostly sustain multivalley coupling.36 The following discussion will show that the use of the high-T approximation of eqn (4), currently used in the analysis of soft materials, probably implies a substantial overestimation of λHAS, whereas the Einstein approximation for hard materials at comparatively low temperature yields better agreement with the existing estimations of λ from various other methods.
Fig. 1 (a) The normalized specular HAS intensity in log scale (proportional to the DW exponent) as a function of temperature for several systems of single-layer graphene supported on metal substrates (full symbols, defined in panel (b)), together with similar data for the clean metals (open symbols). Also shown are the data for HOPG graphite at low (full hexagons1) and high temperature (open hexagons38). (b) The ZA mode frequency at Q = 0 for HOPG graphite and all the Gr/metal systems shown in panel (a). The data are from ref. 1 with some adjustment as explained in the text. |
Surface | T [K] | E i [meV] | ϕ [eV] | α | λ HAS eqn (4) | λ HAS eqn (7) | λ HAS substrate | λ (substrate bulk values) |
---|---|---|---|---|---|---|---|---|
C(0001) | 150–4001,2 | 63 | 4.551 | 1.70 | 0.41 | 0.12 | 0.70 ± 0.0850 | |
250–36038 | 69 | 1.41 | 0.37 | 0.12 | 0.034–0.2832 | |||
400–50038 | 69 | 0.76 | 0.20 | 0.09 | ≤0.2052 | |||
300–3603 | 63 | 1.76 | 0.46 | 0.16 | ||||
Gr/Ni(111) | 200–4001,11 | 66 | 5.3546 | 0.71 | 0.19 | 0.06 | 0.56 | 0.3, 0.748 |
(3He atoms) | 200–70012 | 8 | 0.69 | 0.16 | 0.08 | 0.36 | ||
(Neon atoms) | 100–20011 | 66 | 0.58 | 0.16 | (0.3) | |||
Gr/Ru(0001) | 300–4003 | 67 | 4.7146 | 0.44 | 0.14 | 0.05 | 0.44 | 0.4547 |
200–6008 | 32 | 0.38 | 0.15 | 0.06 | 0.33 | 0.445 | ||
(Neon atoms) | 90–1509 | 43 | 0.58 | 0.18 | (0.02) | 0.39 | ||
Gr/Ir(111) | 100–5001 | 17.5 | 5.7646 | 1.88 | 0.54 | 0.17 | 0.30 | 0.41,48 0.34,44 0.5047 |
Gr/Rh(111) | 150–4505 | 19.3 | 4.9846 | 1.65 | 0.43 | 0.14 | 0.41, 0.5148 | |
63 | 1.16 | 0.31 | 0.10 | |||||
Gr/Pt(111) | 300–4003 | 67 | 5.7046 | 1.53 | 0.54 | 0.20 | 0.6648 | |
Gr/Cu(111) | 100–3001 | 28 | 4.9846 | 2.56 | 0.69 | 0.22 | 0.083 | 0.093,49 0.1347 |
0.145 |
As is seen in Fig. 1a, above 400 K the slope of 2W(T) clearly decreases, apparently tending to a value about a factor of 2 smaller at high temperature, and λHAS takes the values 0.20 from eqn (4) and 0.09 from eqn (7). While with the high-T formula the reduction with respect to data below 400 K is by a factor 2, with the Einstein model the reduction is about 40%. Thus the slope reduction at higher temperature is not due entirely to the different approximation, but is to a large extent an intrinsic effect. This behavior is very striking and is probably the consequence of the gradual transition of graphite from negative to positive in-plane thermal expansion, occurring at ∼500 K.39,40 A bond contraction, like that produced by an external pressure, generally yields a larger λ, while a dilation means a smaller λ, with similar consequences in superconducting materials on the critical temperature Tc.41 This may explain the transition with temperature from a larger to a smaller λHAS observed in graphite. Interestingly, this is not observed in graphene, where the in-plane thermal expansion is predicted to remain negative up to a considerably larger temperature, well above the temperature range so far considered in HAS experiments.42
This behavior of two different slopes of the DW exponent observed in graphite, i.e., a steep slope at low temperatures and a less steep slope at high temperatures, is not seen in any of the supported graphene systems discussed below in the next Section. It is also seen from the last column in Table 1 that there is a rather large range of reported values of λ for bulk graphite, so that the values of λHAS at the surface as measured by He atom scattering are well within the range of reported bulk values.
In all these experiments, atom diffraction and diffuse elastic scattering measurements provide accurate control of the surface long-range order and defect concentrations, respectively, which ensures a high quality of the graphene–substrate interface. The input parameters needed for evaluating λHAS are given in Table 1 together with the relevant references. For several of the clean metals λHAS has also been independently determined and those values appear in the next-to-last column. As stated previously for the case of graphite, the final column gives values from other sources for the e–ph constant λ of the pure bulk metal.
For each of the Gr/metal systems two different calculations for λHAS are exhibited in Table 1. These are the two columns marked λHAS/eqn (4) and λHAS/eqn (7). As denoted by the equation numbers, these calculations were carried out similarly to those explained above in Section 3, using ns = 6 and, for eqn (7)ħω0 = 160 meV as suggested by the Calandra and Mauri work.36 The values for the Einstein model of eqn (7) are around one-third to one-half those of the corresponding calculation using the high temperature limit of eqn (4).
There is a significant amount of spread in the reported values for the bulk metals, but the values of λHAS derived here for Gr/metals compare favorably, and particularly so for the values calculated with the high temperature limit equation. It should also be noted that those values of λHAS are quite similar regardless of whether the projectile is He or Ne. The value 0.16 obtained for Gr/Ni(111) using Ne atoms or very low energy (8 meV) 3He atoms with the spin-echo detection technique is close to that of 4He at the much larger energy of 66 meV which is 0.19. For the two cases for which data is available for Ne scattering, namely Gr/Ni(111) and Gr/Ru(0001), the calculated values using the Einstein model are placed in parenthesis. This is because the Einstein model is probably not as valid because the heavy Ne projectiles are expected to excite a larger range of phonons than the lighter He atom projectiles.
It is of interest to compare the values of λHAS calculated here with the bonding strength of the graphene to these metals. The Gr/metal bonding strength is usually judged by the Gr–metal separation distance, and the systems that have been investigated fall into two different categories, weakly bonded with a separation distance greater than 3 Å and strongly bonded whose separation distance is 2.5 Å or less. Among the former are the close packed surfaces of Ag, Au, Cu, Pt and Ir, while the latter examples include Pd, Rh, Ru Ni, Co and Re.43 Another way of evaluating bonding strengths is by comparing the frequencies ωZA(0) of the shear vertical ZA mode at the zone center at parallel wavevector Q = 0. At long wavelengths the ZA mode is nearly dispersionless as a function of Q for small Q and acts like an Einstein mode with a spring constant f⊥ = M*ωZA2(0) where M* = 2MCMS/(2MC + MS) is the effective mass, MC the carbon mass and MS is the mass of the substrate atom. For graphite MS coincides with the planar unit cell mass 2MC and therefore M* = MC. Fig. 2 shows λHAS plotted as a function of the interplanar force constant f⊥ for both of the two different λHAS calculations. Values of ωZA(0) measured by HAS are taken from ref. 1 and 43, except for that of Gr/Pt(111), extrapolated from Politano et al. high resolution electron energy loss spectroscopy (HREELS) data.53
Fig. 2 The electron–phonon coupling constant λHAS plotted as a function of the ZA mode spring constant f⊥ coupling graphene to the substrate. The data are from ref. 43, with some adjustment; see discussion in the text. The upper dashed-line fitting curve with diamond-shaped data points, as explained in the text, allows the extrapolation of the value λ = 0.89 ± 0.04 using the high temperature limit of eqn (4) for ideally flat free-standing graphene (error bar calculated from the mean-square relative deviation from the fitting curve). Similarly, the lower solid-line curve with circular data points is the result of the Einstein mode approximation of eqn (7) with ω0 = 160 meV using the average experimental temperatures and which predicts the value of λ = 0.32 ± 0.09 for free standing graphene. |
Fig. 2 shows a clear and interesting correlation between λHAS and the graphene–substrate interaction: the weaker is this interaction, the stronger is the e–ph coupling in graphene. This may be qualitatively understood by considering that a stronger interaction with the substrate implies a substantial reduction of the vertical mean square displacement, and possibly also some localization of graphene free electrons.
Some comments are in order about two of the values of ωZA(0) for the ZA mode that have been reported in the literature. In the case of Gr/Ru(0001) two widely different values of 16 and 27 meV have been reported.7,43,54 The value of 16 meV was measured by HAS over a range of parallel wavevector Q that clearly demonstrates its dispersion behaving quadratically at large Q as expected (see discussion below in Section 5). The value of 27 meV measured with HREELS54 appears to be incorrectly assigned. The reason for this assessment is that this mode also appears in HREELS measurements of the clean Ru(0001) surface, although at the slightly higher energy of a little over 30 meV (at the Γ point) where it is identified as the optical mode S2.55,56 The reason for the small energy difference between 27 and 30 meV can be explained by the fact that the tightly bound Gr simply weights down the outermost Ru layer, giving it a slightly smaller energy. Thus, it appears that the value of 27 meV for Gr/Ru(0001) should be assigned to the S2 mode and not to the ZA mode. In Fig. 2 the value ωZA(0) = 16 meV has been used.
Another reported value of ωZA(0) that needs to be discussed is that of Gr/Rh(111) for which a value of 7 meV has been reported.5 This value would appear to be too small when compared with the other strongly bound Gr/metal systems such as Gr/Ni and Gr/Ru where the value is rather in the range of 16–20 meV. Moreover, no upward dispersion is apparently observed, as would be expected. It is unfortunate that no phonon measurements were reported above 12 meV for this system. Other HAS measurements, for example for Gr/Ru(0001) and Gr/Ni(111) have shown that there are a variety of other modes and features that can produce peaks in the energy-resolved spectra at energies below 10 meV, including backfolding of the Rayleigh mode due to the super-periodicity of the moiré patterns induced on these strong binding graphene layers.7,8 In spite of this caveat about ωZA(0) for Gr/Rh(111), the corresponding value for f⊥ = 954 meV2 a.u. is not far from fitting into the observed λHASvs. f⊥ correlations and this value has been included in the two curves shown in Fig. 2.
The charge density oscillations detected by HAS receive the largest contributions from the phonon shear-vertical (SV) mean square displacements of surface atoms, and the latter are inversely proportional in self-standing graphene to an effective shear-vertical force constant F (equal to 1908 meV2 a.u. from the analysis of Gr/Ru(0001) HAS data7). Thus it is reasonable to suggest that λ for the supported graphene is inversely proportional to F + f⊥ and scales therefore as λGr/(1 + f⊥/F), with λGr (which is the value of λHAS for self-standing graphene) and F as fitting parameters. The best fit is obtained with F = 1650 meV2 a.u., which is indeed quite close to the above value from the previous HAS study on Gr/Ru(0001), and λGr = 0.32 and 0.89 from the experimental temperature with the Einstein model of eqn (7), and in the high-T limit of eqn (4), respectively (see Fig. 2). Since graphene is a diatomic lattice with two equal masses in the unit cell, the dispersion curve of the SV modes (as well as of the shear-horizontal (SH) ones) has a gapless folding point at the K-point of the acoustic into the optic branch with a single effective SV force constant. Thus the change from F to F + f⊥ caused by the substrate equally affects both the acoustic and optical branches, producing a sizeable effect on λHAS.
Although the two different approximations of eqn (4) and (7) produce different values for λHAS when projected to the limit of unsupported graphene, the similar nature of the two curves exhibited in Fig. 2 shows that such calculations produce predictions of the behavior of λHAS as a function of experimentally controllable parameters. In this case the controllable parameter is the bonding strength to the metal substrate. Predicting the behavior of the e–ph constant as a function of experimentally variable parameters is important, and a second example in which the parameter is doping concentration is discussed below.
The λHAS values reported in Table 1 fall in the same range as those reported by Fedorov et al. for electron-doping,31 although the doping mechanism is different, one being achieved by changing the substrate, the other by changing the impurities. In both cases, however, λ increases with the softening of an acoustic mode, whether respectively due to the ZA mode dependence on the force constant f⊥ between graphene and the substrate, or to the same graphene ZA mode in resonance with the impurity-induced mode. Note that in the Fedorov et al. experiments31 the Cs and Ca doping levels mentioned above respectively correspond to about 0.05 and 0.13 electrons per C atom, which are in the range of present substrate–graphene charge transfers. Despite these similarities it should be noted that the impurity contribution to the Fermi level DOS is sufficiently low and can be neglected, whereas the substrate contribution can be relevant. In the extreme weak-coupling limit, unquenched substrate surface states can exist at the Fermi level, with an additional contribution to that of Dirac cones. The model parameter suitable to incorporate these contributions is ns, which may then be greater than 6. It is therefore likely that the values of λHAS reported for Gr/Cu(111) in Table 1 and Fig. 2 are overestimated. Actually it should be noted that all the values of λHAS reported in Table 1 for weakly bonded graphene systems calculated with the high temperature limit are much larger than the values for a graphene single layer as calculated by Park et al. even at comparatively large doping levels (λ < 0.21),32 although consistent with values from recent studies on n-doped graphene discussed in the following paragraphs.
The possibility of increasing λ with doping has stimulated several recent studies, all aiming at high-Tc superconductivity in graphene. Just two examples are the analysis by Zhou et al. on heavily N-(electron) and B-(hole) doped graphene,57 and the remarkable transport properties reported by Larkins et al. in phosphorous-doped graphite and graphene, apparently suggesting the onset of superconductivity at temperatures as high as 260 K.58 Among graphene systems where superconductivity is induced by the contact with a periodic Ca layer and the consequent addition of a 2D electron gas at the Fermi level, worth mentioning are the works by Yang et al. where interband electron–phonon coupling is shown to play an important role,59 and by Chapman et al. on Ca-doped graphene laminates.60 Similarly, electron-doped material such as Li-covered graphene has also been predicted from first-principle calculations to attain a λ value as large as 0.61 with a superconducting Tc = 8.1 K.61
Another way to induce superconductivity in graphene is the proximity effect, occurring, as demonstrated by Di Bernardo et al. in a single layer graphene deposited on an oxide superconductor.62 The comparatively easy way to measure the e–ph coupling constant with a HAS apparatus using the temperature dependence of the DW exponent could certainly facilitate the search for novel superconducting graphene systems.
The difference between the ZA and flexural modes is particularly relevant for the DW factor because in a linear chain or a 2D lattice of N atoms with cyclic boundary conditions the mean-square displacement at a given temperature tends to a finite value for N → ∞, whereas in a linear chain or 2D lattice with free boundaries the mean-square displacement of the flexural mode diverges for N → ∞ at any temperature.63–68 Such large amplitude behavior has been reported on unsupported graphene as measured with high resolution electron microscopy.69–72 Moreover, exotic large amplitude vibrations at the free edges of suspended graphene ribbons, not predicted by classical homogeneous elastic plate dynamics, have been demonstrated by García-Sanchez et al. with a novel scanning probe microscopy method.73 Considering that experiments on perfectly suspended graphene flakes with free boundaries, as well as first-principle calculations without imposing cyclic boundary conditions, are hard to carry out, the frequent assumption of a quadratic dispersion for ωZA(Q), and the term flexural for the ZA mode, appear to be inappropriate.
On the other hand, finite flakes of weakly coupled (quasi-self-standing) supported graphene may approximate the free-boundary condition, thus yielding a mean-square displacement rapidly increasing with temperature, i.e., a steep decrease of the DW factor. In such a case involving finite flakes, the association of DW slopes like those of Fig. 1a exclusively to e–ph interaction may be incorrect, especially for the weakest graphene–substrate couplings.
In the context of measuring the electron–phonon constant, it is of interest to discuss the unique phonon modes added to the semi-infinite bulk when graphene is adsorbed onto the metal substrate. A free-standing (unsupported) sheet of graphene has three acoustic phonon branches, one with a longitudinal (LA) and two with transverse polarization, one in-plane (shear horizontal, SH) and one normal to the plane (shear vertical, SV or sometimes denoted as ZA). By imposing cyclic boundary conditions as well as translational and rotational invariance conditions the three branches have a linear dispersion for Q → 0 corresponding to three distinct speeds of sound. When adsorbed to a substrate, the three modes lose their linear dispersion and at small parallel wave vector Q their frequencies go to finite values ωj(0) (j = ZA, SH, LA) due to the bonding force constants between the graphene and the substrate. Since for ZA modes the bonding force constant is essentially radial, while those for LA and SH modes are mostly transverse, in general ωZA(0) > ωLA(0) > ωSH(0). The experimental ωZA(0), or better the corresponding bonding force constant f⊥ can be taken as a measure of the graphene–substrate interaction. For a free-standing infinite-extent thin membrane, such as graphene, the dispersion relation for the ZA mode exhibits a typical upward curvature due to the sp2 bonding structure and consequent strong angle-bending forces, and can be approximated by74–76
(9) |
(10) |
It is important to note that most of the modelling of supported graphene dynamics is based on the assumption of a rigid substrate. However, the phonon spectrum of graphene, with its large dispersion of acoustic modes and high-frequency optical modes, covers the whole phonon spectrum of the substrate, and therefore several avoided crossings are expected between graphene and the substrate modes of similar polarization. For the ZA branch the important interactions are with the S2 optical branch of the metal and the Rayleigh wave. For this reason it was convenient to replace the carbon dimer mass with the effective mass in the expression of f⊥ used in Fig. 2. Moreover, supported graphene is no longer a specular plane, and coupled SV phonon modes acquire some elliptical polarization, leading, e.g., to an avoided crossing between the ZA and LA modes near Q = 0 (see, for example, HAS data for Gr/Ru(0001)7).
In recent works on free-standing graphene dynamics (and even on graphite dynamics) there is some apparent confusion between SV transverse (ZA) and flexural modes.6,79–83 This also appears in the case of other thin film materials such as bilayer SiO2.78,84 The study of the dynamics of elastic plates dates back to works of Euler, Bernoulli, D'Alembert, Sophie Germain and Lagrange, just to mention some of the pioneers, and the terminology is well established.85 When transferred to lattice dynamics, transverse modes refer to lattices with cyclic (or fixed) boundary conditions, whereas flexural modes refer to lattices with free boundaries. The difference is illustrated for a three-atom chain in Fig. 3. The flexural mode, where angle bending occurs with no change of the bond lengths, clearly does not fulfill cyclic boundary conditions, and the frequency dispersion is not linear for Q → 0, but is quadratic. On the other hand, in the transverse ZA mode angle bending occurs with bond stretching in order to fulfill the boundary conditions, and the frequency dispersion is linear for Q → 0 as shown in eqn (9).
It would be extremely interesting to verify this free-standing graphene prediction by carrying out He atom scattering experiments on unsupported graphene. The implications of this work suggest several additional experiments that would be of interest to carry out with He atom scattering on graphene and related systems. One such class of experiments would be to measure extensive energy-resolved inelastic scattering spectra. Such spectra exhibit peak-features due to specific phonons, and these peak intensities are directly proportional to λQ,ν, the mode-selected e–ph contributions to λHAS.15 Thus, inelastic atom-scattering can provide unique information on which phonon modes contribute most importantly to λ.
Another class of experiments would be to measure double and multiple layer supported graphene, and in particular it would be important to measure λ for twisted bilayer graphene (tBLG) which can be superconducting for specific twist angles,86–89 as well as measurements on the class of layered transition-metal chalcogenides which exhibit 2D superconductivity (see, e.g., the recent work by Trainer et al.90 and the HAS study of 2H-MoS291). In the specific case of tBLG, where its peculiar electronic structure is considered to favor a strong electron correlation as the basic mechanism for pairing,86–88,92,93 the actual value of λ would be rather small. On the other hand, it has been suggested that the very same electronic structure at the Fermi level supports a strong e–ph interaction with λ of the order of 1,94–97 or even 1.5,98 so as to consider tBLG as a conventional superconductor. This would rely on a strong multivalley e–ph interaction as well as on a decoupling between twisted layers, similar to the orientational stacking faults in graphene multilayers grown on 4H-SiC(0001) which makes the surface layer behave as a self-standing doped graphene.99 This may well correspond to the large λ in the limit f⊥ → 0 represented in Fig. 2 as calculated with the high temperature model. Helium atom scattering on tBLG and twisted multilayer graphene would certainly help to clarify the above issue.
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