High harmonic generation in undoped graphene: Interplay of inter- and intraband dynamics
We develop a density matrix formalism in the length gauge to calculate the nonlinear response of intrinsic monolayer graphene at terahertz frequencies. Employing a tight-binding model, we find that the interplay of the interband and intraband dynamics leads to strong harmonic generation at moderate field amplitudes. In particular, we find that at low temperature, the reflected field of undoped suspended graphene exhibits a third harmonic amplitude that is 32% of the fundamental for an incident field of 100 V/cm. Moreover, we find that up to the seventh harmonic and beyond are generated.
pacs:72.20.Ht, 72.80.Vp, 42.65.-k, 73.50.Fq
As the paradigmatic example of a system exhibiting zero-gap Dirac points and linear band dispersion Wallace (1947); Das Sarma et al. (2011), graphene has been the subject of a host of studies, many with a focus on its fundamental physical and chemical properties, and many with a view towards device applications Novoselov et al. (2004); Geim (2009); Schwierz (2010); Strait et al. (2011); Levesque et al. (2011); Weis et al. (2012); Mak et al. (2012); Sensale-Rodriguez et al. (2012); Kumar et al. (2013); Hong et al. (2013); Tassin et al. (2013); Glazov and Ganichev (2014). The absorption of electromagnetic radiation in graphene is controlled by interband and intraband transitions Das Sarma et al. (2011), as schematically shown in Fig. 1(a). In undoped graphene, applied fields lead to interband dynamics by inducing transitions between the bands, while the subsequent driving of the carriers within their bands by those same fields leads to intraband dynamics. Transitions near the Dirac point are accessed by terahertz (THz) fields, while for the intraband dynamics to result in significant currents the fields must have a relatively low frequency, as do THz waves Tonouchi (2007); Jepsen et al. (2011); Docherty and Johnston (2012).
Thus while the recent development of sources of intense THz pulses has led to new avenues of exploration across all of condensed matter physics Hebling et al. (2002); Tanaka et al. (2011); Hoffmann and Fülöp (2011); Al-Naib et al. (2013), terahertz studies should be singularly suitable for revealing the physics of carrier dynamics in graphene. A typical THz single cycle pulse and its spectrum are shown in Figs. 1(b) and 1(c), respectively. Earlier theoretical studies anticipated strong optical nonlinearity in graphene, leading to effects such as high harmonic generation Mikhailov (2007); Mikhailov and Ziegler (2008); Wright et al. (2009); Ishikawa (2010). These estimates relied on the extreme nonparabolicity of the linear dispersion relation to lead to strong nonlinearity in the intraband response. Yet although a recent experimental study has demonstrated generation of a third harmonic on the order of of the transmitted field power for a 45-layer graphene sample Bowlan et al. (2014), there has been no experimental indication of such nonlinearities at terahertz frequencies using monolayer graphene Paul et al. (2013).
In this paper, we calculate that graphene can indeed exhibit a strong nonlinear response to THz radiation, with a strong third harmonic field emitted at incident fields as low as 100 V/cm, along with emission up to the harmonic and beyond. However, the strong nonlinear response is not due primarily to the intraband motion of the carriers, but rather to an interplay between the interband and intraband motion of the carriers. The critical requirements for such strong nonlinear effects are that the sample is undoped, i.e., the chemical potential is at the Dirac point and that the experiments are performed well below room temperature at 10 K. This low density, low temperature condition has not been investigated experimentally to date and represents a different regime for harmonic generation in graphene.
Our calculations are based on a theoretical approach employing a density-matrix formalism in the length gauge. We use a nearest-neighbor tight-binding model to treat the electrons in the graphene Reich et al. (2002); Das Sarma et al. (2011). The tight binding expression for the Bloch states is given by:
where is a normalization factor, labels the conduction and valence bands and the sum is over the Bravais lattice vectors . The factor, , where and and is the phase between the two sublattice states, where , with and being the primitive Bravais lattice translation vectors. The are the orbitals of carbon, and , where are the basis vectors. In what follows, to simplify the notation we take the origin in -space to be at -Dirac point (where ). Near the Dirac point, it is easy to show that where is the angle that makes with the -axis. In addition, the dispersion for the two bands is given approximately by , where is Fermi velocity and is the energy of the states in carbon.
It has been shown that the nonlinear response of semiconductors can only be reliably treated in a two band model if one employs the length gauge Aversa and Sipe (1995); Virk and Sipe (2007). In particular, if the more common velocity gauge is used, unphysical divergences arise in the nonlinear response at low frequencies, such as in the THz range, that can only be removed by developing sum rules; these become extremely complicated if one works to high order in the field Virk and Sipe (2007). Thus, in contrast to previous theoretical work on the nonlinear THz response of graphene Mikhailov (2007); Mikhailov and Ziegler (2008); Wright et al. (2009); Ishikawa (2010), we employ here the length-gauge Hamiltonian, given by , where is the full Hamiltonian of unperturbed graphene, is the charge of an electron, is the electron position vector and is the THz electric field at the graphene. The carrier dynamics are calculated by solving the equations of motion for the reduced density matrix in the basis of conduction band and valence band Bloch states. These equations require the matrix elements of the Hamiltonian, which are given by
where the connection elements, , are given by
where is the area of a unit cell and is the periodic part of the Bloch function. We have evaluated these connection elements using our tight-binding wavefunction. Ignoring the overlap of atomic wavefunctions on different atoms, near the Dirac point the connection elements are given approximately by
To deal with the derivative appearing in Eq. 3, as it enters our equations below, we discretize in -space; that discretization should be understood for the other derivatives of quantities in -space that appear below. Due to the large energy barriers between the and Dirac cones and the small energies of the THz photons, we can treat the dynamics of the electrons near the two Dirac points as being disconnected and simply sum their (identical) contributions to the current density. We define the reduced density matrix elements to be , where is the creation (annihilation) operator for an electron in the Bloch state . Using Eq. (2) for the matrix elements of the Hamiltonian, the dynamic equations for the reduced density matrix elements become:
where and is a Fermi-Dirac distribution with a time-dependent temperature. Note that the electric field in both equations is the field at the graphene, which is equal to the amplitude of the transmitted field. In our numerical implementation, we model the vacancy populations rather than the valence band electrons to allow us to only include states near the Dirac point. Because the scattering times in graphene are only on the order of tens of femtoseconds Tse et al. (2008); Breusing et al. (2009); Lui et al. (2010); Tani et al. (2012); Tielrooij et al. (2013); Paul et al. (2013); Bowlan et al. (2014), the inclusion of scattering processes is an essential element in any model of the THz response of graphene. For the low carrier densities considered in this work, carrier-carrier scattering is expected to be relatively unimportant, and the dominant scattering processes will be defect scattering and electron-phonon scattering. In the above equations, we treat the scattering phenomenologically. For the interband coherences, , we introduce an interband decoherence time, , which we assume is independent of . The populations relax back to Fermi-Dirac thermal distributions, , with relaxation times, and a temperature that is chosen to obtain the carrier populations, which are time-dependent due to the THz-induced interband transitions. As it has been found both experimentally and theoretically Winnerl et al. (2011) that the time taken for conduction band electrons to relax to the valence band is much longer than intraband scattering times, we neglect interband relaxation.
To solve the above equations, we employ a direct approach, where we put on a grid and step through time using a Runge-Kutta algorithm. In order to facilitate this, we employ balanced difference approximations to the gradients. Given the geometry of the lattice and Brillouin zone, we employ a hexagonal grid with a uniform point density in -space. Following the formalism of Aversa and Sipe Aversa and Sipe (1995), the current density is given by
where the trace is over single-electron states, is the normalization area of the graphene sheet, is the electron momentum operator and is the reduced density matrix with matrix elements . Using our expression for the Hamiltonian and the matrix elements of the position operator, it is possible to write the current density as the sum of an interband term, , and an intraband term, . After considerable work, one can show that the interband current density is given by
while the intraband current density is given by
The sums over in the current density expressions are restricted to a region near the -Dirac point and we include a factor of 4 to account both for spin degeneracy and the contributions from carriers from the -Dirac point. Note that because to first order is symmetric under inversion, the terms on given on the second line of Eq. (10) are to third order and higher in the electric field and are very small for the conditions considered. We consider a suspended graphene sample such as employed experimentally by Paul et al. Paul et al. (2013) and use the time-dependent current sheet densities to calculate the transmitted and the reflected THz fields. Although we are interested in the nonlinear response, we have verified that we obtain the expected linear conductivities numerically as a check. Furthermore, we have verified convergence in the nonlinear regime by changing the grid density, the extent of the grid, the time-step tolerance and the polarization of the incident field.
We now present the results of our simulations of the nonlinear THz response for undoped monolayer graphene. We run the simulation for a temperature of 10 K (corresponding to intrinsic density of ) so as to minimize initial Pauli-blocking and thus maximize the interband transitions. The input THz pulse is a sinusoidal Gaussian pulse with central frequency of 1 THz and duration (FWHM) of 1 ps as shown in Fig. 1(b). The relaxation times and have been chosen to be 50 fs, which is an average of various theoretical and measured values for such (sample-dependent) constants Tse et al. (2008); Breusing et al. (2009); Lui et al. (2010); Tani et al. (2012); Tielrooij et al. (2013); Paul et al. (2013); Bowlan et al. (2014). This system has a thermal distribution of carriers with an average electron energy of 0.86 meV, which is much less than average photon energy of 4.14 meV of the 1 THz pulse. In the simulation, we keep the chemical potential at the Dirac point but as carriers are injected we calculate the new effective temperature in the distributions, , to which the carriers relax to account for the increase in the carrier density. All of the carriers (injected as well as thermal) are driven by the applied electric field (intraband dynamics). This results in the opening and closing of different states for extra injection of carriers. This interplay between intraband and interband dynamics is at the heart of the highly nonlinear response that we now examine.
In Fig. 2 we plot the intraband and interband current densities for four different incident field peak amplitudes (1, 50, 100 and 200 V/cm). In order to facilitate the comparison, all current densities are normalized to the peak, , of the incident field, such that, if the response were linear, these relative currents would be unchanged by an increase in incident field. To demonstrate the importance of the interplay of interband and intraband dynamics, we first present the results of the calculation when the interplay is missing. In the first case (Fig. 2(a)), we have set the connection elements (’s) to zero in Eqs. (6) and (7) such that there is no electron motion between the bands. In this case, only the intraband current contributes. The relative current is decreased near the peaks (clipping) when the electric field is increased. This clipping results in a 23% reduction in the peak relative current when the field is 200 V/cm compared to the linear response; the reduction is expected due to the linear dispersion of graphene Wallace (1947); Das Sarma et al. (2011), but the nonlinearity is quite modest. In the second case (Fig. 2(b)), all of the gradients in Eqs. (6) and (7) have been excluded. Interband transitions occur but the transfer of electrons between bands is not accompanied by the subsequent motion of electrons within individual bands. Here the relative interband current is seen to decrease as the THz electric field increases. This is due to interband absorption saturation that arises due to Pauli-blocking. Again, the nonlinearity is modest.
Finally, we present the results of the full calculation that includes the full interband and intraband carrier dynamics. The relative intraband and interband current densities for this full calculation are shown in Figs. 2(c) and 2(d), respectively. The intraband current undergoes a large increase as the field is increased and is almost tripled when we go from a field of 1 V/cm to the highest field of 200 V/cm. This increase is expected, as it arises from the increase in the carrier densities due to the interband injection of carriers. In addition, there is a relatively small distortion in the intraband current as the field is increased. Finally, in Fig. 2(d), we plot the relative interband current density. We see first that as the incident field increases, there is a decrease in the relative interband current. Most importantly, the temporal form of the interband current is greatly modified, especially at fields at and above 100 V/cm. It is evident by comparison to Fig. 2(b) that this strong nonlinearity only arises when both interband an intraband processes are included in the calculation, and is thus due to the interplay between the interband and intraband dynamics.
To illustrate the combined effects of the interband and intraband transitions on the carrier distributions, we plot the electron density in -space in Fig. 3 before the pulse arrives (Fig. 3(a)) and at ps, after almost half of the incident pulse has passed (Fig. 3(b)). At ps, the distribution has changed in two key respects: (i) the carriers have been driven by the field so far to the right in -space that most of them now have a velocity component in the positive- direction, and (ii) the carrier density is considerably increased just above and below the line just to the right of the Dirac point as expected from Eq. (5). The first effect is the source of clipping in the intraband current density. The second effect results in the increase in carrier density, which resulted in the increased intraband current in Fig. 2(c). However, the most important effect of the strong redistribution of carriers in -space is that it results in strong interplay between the interband and intraband dynamics. Although it is tempting to interpret this interplay as simply arising from the time-dependence of the Pauli-blocking of the states near the Dirac point, as a physical picture based on a rate equation model might suggest, such a picture does not lead to an accurate understanding of the detailed current dynamics because all of the dynamics are occurring on a sub-cycle timescale. Thus, the full simulation is required.
We now consider the transmitted and reflected THz fields. The transmitted field is given by , where is the free space impedance. Because the current density is relatively small for the field amplitudes considered, the transmitted field is dominated by the incident field. For this reason, we present the results for the reflected field, which is given by . Alternately, a differential transmission technique Jiang et al. (2000) could be employed instead of the reflection configuration in order to measure the same response. The normalized time-dependent reflected fields for different field amplitudes are shown for the full calculation in Fig. 4(a). The absolute peak of the un-normalized reflectedfield is 0.27 V/cm for the incident field of 100 V/cm. As can be seen, the strong distortion of the interband current is clearly exhibited in the reflected field. This distortion is an indication of harmonics; the spectral responses normalized to the peak amplitude at the fundamental frequency are presented in Fig. 4(b). While there is no harmonic signal for the low field of 1 V/cm, the odd harmonics of the reflected field emerge as the field amplitude increases. The third harmonic peaks at 32% and 0.061% of the reflected and transmitted spectral peak at the fundamental, respectively for a 100 V/cm incident field, and then decreases as the field is raised beyond that.
We have also calculated the spectral response when there is no interplay between the interband and intraband dynamics and find (not shown) that the third harmonic amplitude is only 1.6% and 0.6%, respectively when the interband and intraband dynamics are shut off. Therefore, it is the interplay between the interband and intraband dynamics that is crucial to the appearance of the strong harmonic generation in undoped graphene. It is particularly noteworthy that we are obtaining a very strong nonlinearity even though the carrier densities are not very high at all; e.g., for the 100 V/cm incident field. We note that in order to observe the strong nonlinearity, it is critical that the initial carrier density is low, otherwise Pauli-blocking effectively shuts off the interband transitions. This is demonstrated in the inset of Fig. 4(b), where we plot the third harmonic amplitude as a function of the Fermi energy. It is clearly evident that when the Fermi energy changes from 0 to 15 meV, the third harmonic amplitude is reduced from 32% to 1%. We have also performed simulations with zero Fermi energy but at room temperature and find that, again due to Pauli-blocking, the amplitude of the third harmonic generation is reduced by more than one order of magnitude. It is because all previous experiments on the nonlinear THz response of monolayer graphene have been performed on doped graphene (15 meV) or at temperatures well above 10 K, that the strong nonlinear effect that we predict has not been observed to date.
In order to investigate the origin of the decrease in the third harmonic amplitude beyond a certain field strength, we present in Fig. 5 the third, the fifth and the seventh harmonic amplitude versus the incident electric field for the results presented in Fig. 4(b). While the and the harmonic levels are negligible for fields up to 20 V/cm (as indicated by the arrow in Fig. 5), they start to increase gradually after that. At the same time a cubic fit (black curve) to the third harmonic departs from calculated third harmonic amplitude. This indicates that the final third harmonic is not simply a third order process. For example, at moderate fields it is due to the combination of a process and a process that contributes to the third harmonic, as shown diagrammatically in Figs. 6(a) and 6(b). This contribution of the fifth-order process to the third harmonic is analogous to the Kerr effect for the linear response but at a higher order. That the reduction in the third harmonic is initially due to a fifth order process is evident in the fact that the fifth harmonic starts to appear at essentially the same field as the third harmonic starts to deviate from the cubic fit. We have further confirmed the origin of the decrease in the third harmonic by examining the response when any self-fields are omitted and find essentially the same trends in the response. As can also be seen from Fig. 5, higher order odd harmonics such as the and the also appear as the field increases and reach levels that are 15.3% and 7.7% of the reflected fundamental, respectively.
We now discuss how one could best experimentally observe the harmonic signals that we predict and what the noise requirements of the experimental set-up. First of all, in order to suppress any spectral components of the incident field that lie near the third harmonic, one should use a low-pass filter before the field reaches the graphene Paul et al. (2013). After the signal has passed the sample, a high-pass filter at the detection side should ideally be used in order to remove the fundamental, so as to allow the measurement of the high harmonics only. Terahertz time-domain spectrometers (THz-TDS) have become an established method for sensitive measurements, and conventionally they are operated in a transmission-mode configuration. If the noise in the incident pulses in a transmission-mode experimental setup is found to be a limiting factor, a measurement technique called differential time-domain spectroscopy (DTDS) can be employed instead Jiang et al. (2000); Mickan et al. (2002); Liu et al. (2007); Withayachumnankul et al. (2007). The reference signal will be transmission through air, and hence the final differential transmission measurements will be essentially identical to the reflection waveforms presented in Fig. 4(a). Using this technique, up to two orders of magnitude improvement in noise performance can be achieved Withayachumnankul et al. (2007). The dynamic range of THz spectrometers is a very important factor to consider Naftaly (2013). It is defined as the ratio of the frequency dependent signal strength to the detected noise floor Jepsen and Fischer (2005); Piesiewicz et al. (2007). One example of a low noise system has been achieved by Zhao et al. using a laser oscillator with 15 fs pulses and a 72 MHz repetition rate Zhao et al. (2002) and a semi-large photoconductive antenna at the emitter side. This setup achieved a dynamic range of 118 dB using a standard electro-optic detection scheme with a 1 mm thick (110) oriented ZnTe crystal Zhao et al. (2002). Moreover, in this system, a field strength on the order of 95 V/cm was generated, which is sufficient to observe the predicted harmonics. Other researchers have employed a multi-scan technique that can be employed in order to increase the dynamic range. Recently, an ultra-high dynamic range of 90 dB was reported with 1000 scans that were taken in less than a minute Vieweg et al. (2014). The third harmonic level for an incident field strength of 100 V/cm is predicted by our calculations to be 0.061% in the transmission mode, i.e., 64.3 dB less than the fundamental. Hence, one should be able to measure the third harmonic with the experimental techniques and setups described above, as the field amplitudes are high enough and the achieved dynamic ranges of 90 dB and 118 dB are much larger than the required dynamic range of approximately 70 dB.
We finally turn to the effect of scattering time on the generated third harmonic. As mentioned in the introduction, the effect of the scattering time on the response of graphene is particularly important in the THz regime. In Fig. 7, we now present the normalized third harmonic as a function of incident THz field amplitude for scattering times ranging from 10 fs to 100 fs. Because scattering reduces coherences in the carrier dynamics, it is expected that for a given field strength, larger scattering times will result in larger amplitudes of the third harmonic component of the transmitted and reflected fields. Our results indeed support this hypothesis as shown in Fig. 7.
When is only 10 fs, the movement of the carriers in -space is almost negligible as , which results in the carriers relaxing very quickly towards a thermal distribution around the Dirac point before they can move far from their equilibrium positions in -space. This leads to a reduction in the interplay of the intraband and interband dynamics and thus a reduction in the nonlinearity. As the scattering time increases, the required electric field to induce the same displacement of the carriers becomes smaller. Thus, when the scattering time is increased by one order of magnitude to 100 fs, where , the carriers can be driven much further from the Dirac point. This results in a periodic reduction in Pauli-blocking of states near the Dirac point, that allows for a periodic increase in the interband response at these times, which in turn yields a strongly nonlinear response in the interband current density. We note that although an increase in the scattering time results in an increase in the third harmonic for fields up to about 100 V/cm (for the range of scattering times considered), due to higher-order effects, the maximum third harmonic level is essentially independent of the scattering time. However, the incident field amplitude at which the maximum occurs is strongly dependent on the scattering time. This means that our results are robust to reductions in the scattering time down to at least 10 fs.
In conclusion, we have theoretically investigated nonlinear high harmonic generation in monolayer graphene. Our results demonstrate a very strong interplay between the intraband and interband dynamics, leading to large odd harmonics in the reflected field from suspended undoped graphene at low temperature. This work lays out conditions under which future experiments could achieve efficient high harmonic generation in monolayer graphene at low density where electron-electron scattering is expected to have a minimal effect.
We thank the Natural Sciences and Engineering Research Council of Canada for financial support.
- Wallace (1947) P. R. Wallace, Phys. Rev. 71, 622 (1947).
- Das Sarma et al. (2011) S. Das Sarma, S. Adam, E. H. Hwang, and E. Rossi, Rev. Mod. Phys. 83, 407 (2011).
- Novoselov et al. (2004) K. S. Novoselov, A. K. Geim, S. V. Morozov, D. Jiang, Y. Zhang, S. V. Dubonos, I. V. Grigorieva, and A. A. Firsov, Science 306, 666 (2004).
- Geim (2009) A. K. Geim, Science 324, 1530 (2009).
- Schwierz (2010) F. Schwierz, Nat. Nanotechnol. 5, 487 (2010).
- Strait et al. (2011) J. H. Strait, H. Wang, S. Shivaraman, V. Shields, M. Spencer, and F. Rana, Nano Lett. 11, 4902 (2011).
- Levesque et al. (2011) P. L. Levesque, S. S. Sabri, C. M. Aguirre, J. Guillemette, M. Siaj, P. Desjardins, T. Szkopek, and R. Martel, Nano Lett. 11, 132 (2011).
- Weis et al. (2012) P. Weis, J. L. Garcia-Pomar, M. Höh, B. Reinhard, A. Brodyanski, and M. Rahm, ACS Nano 6, 9118 (2012).
- Mak et al. (2012) K. F. Mak, L. Ju, F. Wang, and T. F. Heinz, Solid State Commun. 152, 1341 (2012).
- Sensale-Rodriguez et al. (2012) B. Sensale-Rodriguez, R. Yan, M. M. Kelly, T. Fang, K. Tahy, W. S. Hwang, D. Jena, L. Liu, and H. G. Xing, Nat. Commun. 3, 780 (2012).
- Kumar et al. (2013) N. Kumar, J. Kumar, C. Gerstenkorn, R. Wang, H.-Y. Chiu, A. L. Smirl, and H. Zhao, Phys. Rev. B 87, 121406 (2013).
- Hong et al. (2013) S.-Y. Hong, J. I. Dadap, N. Petrone, P.-C. Yeh, J. Hone, and R. M. Osgood, Phys. Rev. X 3, 021014 (2013).
- Tassin et al. (2013) P. Tassin, T. Koschny, and C. M. Soukoulis, Science 341, 620 (2013).
- Glazov and Ganichev (2014) M. Glazov and S. Ganichev, Phys. Rep. 535, 101 (2014).
- Tonouchi (2007) M. Tonouchi, Nat. Photonics 1, 97 (2007).
- Jepsen et al. (2011) P. U. Jepsen, D. G. Cooke, and M. Koch, Laser Photonics Rev. 5, 124 (2011).
- Docherty and Johnston (2012) C. J. Docherty and M. B. Johnston, J. Infrared, Millimeter, Terahertz Waves 33, 797 (2012).
- Hebling et al. (2002) J. Hebling, G. Almási, and I. Z. Kozma, Opt. Express 10, 1161 (2002).
- Tanaka et al. (2011) K. Tanaka, H. Hirori, and M. Nagai, IEEE Trans. Terahertz Sci. Technol. 1, 301 (2011).
- Hoffmann and Fülöp (2011) M. C. Hoffmann and J. A. Fülöp, J. Phys. D. Appl. Phys. 44, 083001 (2011).
- Al-Naib et al. (2013) I. Al-Naib, G. Sharma, M. M. Dignam, H. Hafez, A. Ibrahim, D. G. Cooke, T. Ozaki, and R. Morandotti, Phys. Rev. B 88, 195203 (2013).
- Mikhailov (2007) S. A. Mikhailov, Europhys. Lett. 79, 27002 (2007).
- Mikhailov and Ziegler (2008) S. A. Mikhailov and K. Ziegler, J. Phys. Condens. Matter 20, 384204 (2008).
- Wright et al. (2009) A. R. Wright, X. G. Xu, J. C. Cao, and C. Zhang, Appl. Phys. Lett. 95, 072101 (2009).
- Ishikawa (2010) K. L. Ishikawa, Phys. Rev. B 82, 201402 (2010).
- Bowlan et al. (2014) P. Bowlan, E. Martinez-Moreno, K. Reimann, T. Elsaesser, and M. Woerner, Phys. Rev. B 89, 041408 (2014).
- Paul et al. (2013) M. J. Paul, Y. C. Chang, Z. J. Thompson, A. Stickel, J. Wardini, H. Choi, E. D. Minot, T. B. Norris, and Y.-S. Lee, New J. Phys. 15, 085019 (2013).
- Reich et al. (2002) S. Reich, J. Maultzsch, C. Thomsen, and P. Ordejón, Phys. Rev. B 66, 035412 (2002).
- Aversa and Sipe (1995) C. Aversa and J. E. Sipe, Phys. Rev. B 52, 14636 (1995).
- Virk and Sipe (2007) K. S. Virk and J. E. Sipe, Phys. Rev. B 76, 035213 (2007).
- Blount (1962) E. I. Blount, Solid State Physics: Advances in Research and Applications, Vol. 13 (Academic, New York, 1962) pp. 305–373.
- Tse et al. (2008) W.-K. Tse, E. H. Hwang, and S. Das Sarma, Appl. Phys. Lett. 93, 023128 (2008).
- Breusing et al. (2009) M. Breusing, C. Ropers, and T. Elsaesser, Phys. Rev. Lett. 102, 086809 (2009).
- Lui et al. (2010) C. H. Lui, K. F. Mak, J. Shan, and T. F. Heinz, Phys. Rev. Lett. 105, 127404 (2010).
- Tani et al. (2012) S. Tani, F. Blanchard, and K. Tanaka, Phys. Rev. Lett. 109, 166603 (2012).
- Tielrooij et al. (2013) K. J. Tielrooij, J. C. W. Song, S. A. Jensen, A. Centeno, A. Pesquera, A. Zurutuza Elorza, M. Bonn, L. S. Levitov, and F. H. L. Koppens, Nat. Phys. 9, 248 (2013).
- Winnerl et al. (2011) S. Winnerl, M. Orlita, P. Plochocka, P. Kossacki, M. Potemski, T. Winzer, E. Malic, A. Knorr, M. Sprinkle, C. Berger, W. A. de Heer, H. Schneider, and M. Helm, Phys. Rev. Lett. 107, 237401 (2011).
- Jiang et al. (2000) Z. Jiang, M. Li, and X.-C. Zhang, Appl. Phys. Lett. 76, 3221 (2000).
- Mickan et al. (2002) S. P. Mickan, D. Abbott, J. Munch, and X.-C. Zhang, Fluct. Noise Lett. 2, R13 (2002).
- Liu et al. (2007) H.-B. Liu, G. Plopper, S. Earley, Y. Chen, B. Ferguson, and X.-C. Zhang, Biosens. Bioelectron. 22, 1075 (2007).
- Withayachumnankul et al. (2007) W. Withayachumnankul, G. M. Png, X. Yin, S. Atakaramians, I. Jones, H. Lin, B. S. Y. Ung, J. Balakrishnan, B. W.-H. Ng, B. Ferguson, S. P. Mickan, B. M. Fischer, and D. Abbott, Proc. IEEE 95, 1528 (2007).
- Naftaly (2013) M. Naftaly, IEEE Sens. J. 13, 8 (2013).
- Jepsen and Fischer (2005) P. U. Jepsen and B. M. Fischer, Opt. Lett. 30, 29 (2005).
- Piesiewicz et al. (2007) R. Piesiewicz, C. Jansen, S. Wietzke, D. Mittleman, M. Koch, and T. Kürner, Int. J. Infrared Millimeter Waves 28, 363 (2007).
- Zhao et al. (2002) G. Zhao, R. N. Schouten, N. V. D. Valk, W. T. Wenckebach, and P. C. M. Planken, Phys. Med. Biol. 47, 3699 (2002).
- Vieweg et al. (2014) N. Vieweg, F. Rettich, A. Deninger, H. Roehle, R. Dietz, T. Göbel, and M. Schell, J. Infrared, Millimeter, Terahertz Waves 35, 823 (2014).