Understanding magnetoresistance, the change in electrical resistance under an external magnetic field, at the atomic level is of great interest both fundamentally and technologically. Graphene and other two-dimensional layered materials provide an unprecedented opportunity to explore magnetoresistance at its nascent stage of structural formation. Here we report an extremely large local magnetoresistance of∼2,000% at 400 K and a non-local magnetoresistance of >90,000% in an applied magnetic field of 9 T at 300 K in few-layer graphene/boron–nitride heterostructures. The local magnetoresistance is understood to arise from large differential transport parameters, such as the carrier mobility, across various layers of few-layer graphene upon a normal magnetic field, whereas the non-local magnetoresistance is due to the magnetic field induced Ettingshausen–Nernst effect. Non-local magnetoresistance suggests the possibility of a graphene-based gate tunable thermal switch. In addition, our results demonstrate that graphene heterostructures may be promising for magnetic field sensing applications.
Magnetoresistance (MR) sensors are widely used in day-to-day applications1, where the MR value is an important figure of merit. For example, in information storage applications, the data are retrieved from a magnetic hard disk with a MR read sensor that is extremely sensitive to low (stray) magnetic fields2,3. Prompted by the huge demand for MR sensors with a high sensitivity, low energy consumption, low cost and ready availability, researchers are investigating various new materials. Graphene, a stack of single-layer carbon atoms arranged in a hexagonal periodic lattice with weak van der Waals interlayer interaction, can be a wonder electronic material that can exhibit large MR values. Fundamentally, atomically thin structures provide the simplest system to understand the origin of MR, thanks to the discovery of semi-metallic graphene and other low-dimensional conducting structures4,5,6.
In the past, attempts have been made to understand the MR in graphene. A linear MR of 80–250% was reported in epitaxial multilayer graphene at 2 K in a normal magnetic field of 12 T (ref. 7). The explanation of the temperature-independent linear MR based on the quantum theory8 fails to account for the observed MR at room temperature as no quantum effects are expected at room temperature. A linear and quadratic MR of 60%, at 300 K and a magnetic field of 14 T, are reported in chemical vapour deposition grown few-layer graphene with the current perpendicular to the film plane9. The authors attribute this large MR to in-plane velocity of the carriers due to disorientation of the graphene atoms, when it is sandwiched to make stacked few-layer graphene. In addition, this structure suffers from defects, grain boundaries and impurities, which limit the mobility of the carriers reducing the MR. By increasing the mobility with graphene peeled from Kish graphite10, a larger room temperature MR can be achieved. However, it is found that highly ordered pyrolytic graphite samples with sizes <100 μm exhibit a very small MR11, and the smaller MR observed in the past in few-layer graphene samples is explained by the size effect. Recently, a sizeable MR is reported at 300 K from single-layer graphene12 owing to enhanced scattering from charged impurities. A negative MR is also predicted13 and observed14 in graphene nanoribbons, but the MR value is limited (∼100%). A finite MR has been reported recently on graphene/boron–nitride (BN) vertical heterostructures15,16.
Here we show various scenarios such as local Hall bar, van der Pauw and non-local geometry, where the multilayer graphene can show large MR values. In a local geometry, small-sized (few microns) few-layer graphene samples can exhibit an extremely large MR of 2,000% at 400 K in graphene/BN heterostructures. We provide experimental evidence to show that few-layer graphene can be an electronic material for MR sensors at both low and high magnetic fields, and at practical device operating temperatures of up to 400 K, with a very small temperature coefficient of resistance. In addition, we show that the MR is electric field tunable thus providing additional functionalities to the sensor. Furthermore, we show that Ettingshausen–Nernst effect based non-local MR sensors can exhibit MR >90,000% at room temperature.
Electric and magnetic field effects on channel resistivity
Based on the multi-channel model (Supplementary Notes 1 and 2) by considering few-layer graphene exhibiting parallel transport with different mobilities and densities of the carriers, we find that the MR can be arbitrarily large for certain combinations of mobility and carrier concentration in different channels. The underlying physics is that the MR is due to the Lorentz force on the charge carriers with a cosine dependence on the angle of the magnetic field. When a magnetic field is applied normal to the multilayer graphene plane, there will be parallel conduction between channels, which can be effectively represented by the multi-channel model. In a low magnetic field (B), the current flows though the high mobility (μ) channel (because its conductivity is higher), whereas in high B its longitudinal conductivity rapidly drops as 1/[1+(μ B)2], forcing the current towards into the low mobility channel that now has a higher longitudinal conductivity of the channels.
The theoretically predicted MR behaviours with experimentally accessible carrier densities and mobilities are shown in Fig. 1a. It is clear that the MR is very large even for moderate magnetic fields. Among various combinations of mobility and carrier density, it is inferred that a large mobility (which can be achieved by using graphene on BN) with respect to the second channel or a lower carrier concentration (by tuning the gate voltage to near the charge neutrality point (CNP) where the carrier density is at minimum) is the key to obtain a high magnetic field sensitivity at low magnetic fields. It is known that the intrinsic carrier density at the CNP is of the order of ∼1010−1011 cm−2 depending on the quality of graphene17. The mobility at the CNP is usually >10,000 cm2 V−1 s−1 (ref. 10), which means that the MR can be arbitrarily large at the CNP.
To support the model, graphene on BN has been prepared by a two-step mechanical transfer process as described elsewhere18. The optical micrograph of the fabricated device with four graphene layers is shown in Fig. 1b. The present study aims to understand the properties of few-layer graphene at the practical device temperature of 400 K, which has not been reported previously. The source-drain voltage (Vsd) versus source-drain current (Isd) shows a linear characteristic at all gate voltages implying an ohmic contact between graphene and Cr/Au electrodes (Fig. 1c). The back gate voltage (VG) dependence of the channel resistance shows a maximum at ∼6 V corresponding to the CNP. The CNP is broad, which could be related to both the band structure of few-layer graphene and the thermal smearing of the Fermi surfaces at 400 K. In order to understand the MR effect in this layered system, a magnetic field of 9 T is applied normal to the graphene plane. It is clear from Fig. 1d that the applied magnetic field increases the resistance of charge carriers resulting in a positive MR at all gate voltages. In line with the model discussed above, a much larger change is observed near the CNP owing to a lower carrier concentration and larger mobility.
MR and Hall data at 400 K
Figure 2a shows the MR of four-layer graphene/BN as a function of the external magnetic field at 400 K in various VG. It is clear that the maximum MR is ∼880% at 9 T, which is near the CNP, the highest value ever reported in graphene at this temperature. At CNP, the MR is parabolic at low magnetic fields, but it is linear at high magnetic fields with no indication of any saturation. As VG is tuned away from the CNP, the MR percentage decreases on either side. At VG=−25 V, the MR falls to 130% at 9 T. To check whether BN really improves the MR, similar magneto-transport measurements have been carried out with graphene on SiO2. It is clear from Fig. 2b that the MR is smaller on SiO2 due to the degradation in mobility as previously reported17. In the graphene/SiO2 case, the MR is also gate tunable and the characteristics are very similar to that of graphene/BN, implying that the intrinsic property of few-layer graphene is responsible for the MR (Supplementary Figs 1–3). The CNP in this case is shifted slightly to a higher gate voltage than that of graphene/BN, which points to the different reactivity of the surface of graphene attached to BN or SiO2 due to a difference in charge inhomogeneity19.
To better understand the MR characteristics, the Hall resistivity ρxy has been measured at different VG, as shown in Fig. 2c. The Hall resistivity shows a nonlinear behaviour at various VG suggesting contributions from different layers with different carrier mobilities and carrier concentrations. Above the CNP, the ρxy versus H curve shows a negative slope, suggesting that the majority charge carriers are electrons, and below the CNP the majority carriers are holes as evidenced from the positive slope. Both the MR and ρxy are fitted with a multi-channel model described in Supplementary Notes 1 and 2. The extracted parameters, carrier density and mobility for VG<VCNP, are shown in Fig. 2d, which are modulated with VG. Note that, in the multi-channel model, the graphene layer close to BN forms channel 1 and the rest of the layers form channel 2. Owing to the thermal excitation of carriers at a measurement temperature of 400 K as well as the Ettingshausen–Nernst effect, which is discussed later, the fitting with the model works well away from CNP. Typical mobilities of the charge carriers in the two effective channels are μ1=∼10,000 (channel 1) and μ2=∼1,500 cm2 V−1 s−1 (channel 2) at VG=−25 V, and the large mobility difference in the two channels is the reason to obtain a large MR, which is in accordance with the model. The channel 1 close to BN has the highest mobility and the rest of the layers (channel 2) show graphitic mobility. It has also been shown that the bulk mobility of graphite is∼3,000 cm2 V−1 s−1 (ref. 20), which is in agreement with our extracted mobility value for channel 2. In addition, microscopic disorder is also present in our samples, which is evident from the linear MR characteristics as well as the non-saturating MR12, which might also be playing a role in inducing the large mobility difference between channels 1 and 2.
The carrier density is modulated by VG; however, we found different types of carriers in the two channels at a certain VG. For example, when VG<VCNP, the hole density is larger than the electron density, and for VG>VCNP, the electron density is larger than the hole density. This is a result of the electric field modulation of the carrier density in channel 1 close to BN; however, the carrier density of channel 2 remains in the bulk graphite-compensated state with weak gate voltage tunability. The screening length in multilayer graphene is much debated, and the various theoretical21,22 and experimental studies23,24 show that depending upon the doping, the screening length can vary from half a unit cell to an order of magnitude. The observed nonlinear Hall effect is an indication that the screening length is lower than the multilayer thickness in our samples. It is inferred that the applied VG modulates charge carriers in 1−2 graphene layers close to BN, whereas the charge density in rest of the graphene layers are not much affected. The hole density of channel 1 reaches to ∼1.5 × 1012 cm−2 at VG=−25 V with a graphene/BN (10 nm)/SiO2(300 nm) back gate structure. A charge density of 5−7 × 1010 cm−2 per V is expected to induce with a back gate. Since the CNP is∼10 V, an applied VG of −25 V induces a hole density of 1.8−2.5 × 1012 cm−2, and the extracted hole density of 1.5 × 1012 cm−2 suggests that >75% carriers are in the first channel. It has been predicted theoretically22 that for a carrier density of 1012 cm−2, the screening length is 1−2 layers. The nonlinear Hall effect clearly indicates the presence of two different carrier types and its modulation on applying VG<VCNP, which is shown in Fig. 2d. The applied electric field presumably shifts the Dirac point in each layer to match the Fermi level as predicted theoretically22, which could be the reason as to why two different types of carriers are seen. In channel 1, the hole density decreases on increasing VG from −25 V towards the CNP, whereas the mobility increases, which is in agreement with the reported results. In channel 2, the magnitude of electron density and mobility is lower than that of channel 1, and shows a much weaker dependence on VG, which may be the result of screening.
Temperature and angle effects on MR
A much larger MR effect is seen in six-layer graphene/BN samples and the MR behaviour at VG=0 V is shown in Fig. 3d. The local measurement geometry is shown in Fig. 3a. The estimation of layer number by Raman spectrum is provided in Supplementary Fig. 4. The MR at 400 K is∼2,000% at 9 T and the MR hardly changes as the sample is cooled to 300 K, suggesting a very small temperature coefficient of resistance in this range of temperature. When the sample is further cooled to 2 K, the MR increases to a very large value of∼6,000% at 9 T. At first glance, this large increase in the MR at a low temperature may suggest the importance of quantum effects; however, the Landau levels are only partially formed (as inferred from weak oscillations in resistance on top of a huge classical MR background) at 2 K, which argues against purely quantum-related contribution to the large observed MR.
To better understand the role of additional contributions to the MR, it has been measured at different magnetic field orientations with respect to the film plane (Fig. 3e). The magnetic field orientation has been changed from out-of-plane (θ=0° and 180°) to in-plane (θ=90° and 270°) in a complete cycle with a constant magnetic field of 9 T. The MR is maximum when the magnetic field is normal to the sample plane, which suggests that the Lorentz force F=q(v × B), where q is the charge of the carriers, v is the in-plane velocity along the current direction and B is the strength of the magnetic field, causes deflection of the charged particles in the graphene plane. At 300 and 400 K, the MR follows cosine dependence with angles confirming the role of the Lorentz force. However, at 2 K, the MR deviates from a simple cosine behaviour that indicates the presence of additional contributions to the MR. From the cosine fit, it is calculated that the non-classical-related MR is only∼700% as compared with a classical MR of ∼5,300%. This study clearly separates the classical and non-classical MR contributions, and the result suggests that the classical MR dominates in graphene even at 2 K, which is contrary to other reports7,14.
In addition, we have performed the MR measurements by changing the orientation of the magnetic field in the film plane (Supplementary Fig. 2b) and found that there is a negligible MR, as the thickness of the graphene layers is too thin to have any Lorentz force effect on the resistance in the case of in-plane fields, further confirming that a classical Lorentz force arising from the interaction of charged particles with the graphene lattice is the dominant mechanism. It is to be noted that the geometry-related contribution is negligibly small in this configuration, as evidenced from the simple cosine variation of the MR at high temperatures (300 and 400 K). In addition, the in-plane MR, where both the magnetic field and current are parallel, is <1%, suggesting that the contribution of interlayer interactions to the observed MR is negligibly small.
MR in van der Pauw geometry
In order to understand the origin of non-classical MR and improve the magnetic field sensitivity of the graphene sensor, measurements of the MR with current electrodes (the injector) separated from voltage electrodes (the detector) have been carried out in the van der Pauw geometry (Fig. 3b for the measurement geometry and Supplementary Fig. 5 for the device image). Surprisingly, the MR measured in this way in Fig. 3f is extremely large reaching ∼35,000% at 50 K and 5,000% at 300 K in comparison with a local MR of 2,000% at 300 K. Note that since graphene is not constricted, the classical ohmic contribution is enhanced by a geometric effect, although the non-classical contributions can be still present in this geometry. The large increase in the MR at low temperatures cannot be explained simply by invoking the suppression of a phonon contribution, which increases the mobility and hence MR, since the percentage increase in the MR with respect to that at room temperature is much higher than expected. The deviation from cosine dependence at a low temperature (Fig. 3e) indicates that an additional mechanism is present. Of several possibilities, it is reasonable to assume that the spin Hall contribution is negligible, as the intrinsic spin–orbit coupling in graphene is weak due to a low atomic number. We discuss several other possibilities below based on the experimental results.
The possibility of a heat-related contribution as the source of non-classical MR is likely. To verify this, we have selected four-layer graphene (more results are in Supplementary Figs 6–11) with a narrow channel width (W) of 7 μm and the separation (L) of the non-local voltage electrodes from current electrodes is 21−29 μm, which yields a L/W ratio ≥3. The result of the non-local resistance (RNL) and the MR at 300 K with L=29 μm is shown in Fig. 3g. It is observed that a large non-local MR value of 90,000% exists even at electrode separations where a classical ohmic contribution is not expected. It is to be noted that the ohmic contribution decays exponentially as (refs 25, 26). The MR signal attains a maximum at the CNP, showing that the signal is intrinsic to graphene. To understand the effect of orientation of the magnetic field on the non-local signal, we have performed an angular-dependent MR measurement at 300 K under a constant magnetic field of 9 T, as shown in Fig. 3h. The measurement has been performed at VG=0 close to the CNP. The orientation of the magnetic field has been varied from out-of-plane (θ=0° and 180°) to in-plane (θ=90° and 270°), and the results show that RNL∝cosθ.
Possible candidates for non-local signal are thermally induced classical effects such as the Joule heating, Nernst and Ettingshausen effects. Joule heating at the injector would cause an energy flow, Q=I2R, where I is the injector current. This energy flow produces a temperature gradient leading to a non-local Nernst voltage at the detector. The Nernst effect is the magnetic analogue of the Seebeck effect27,28, whereby a potential difference appears across a sample subject to a temperature gradient in a perpendicular magnetic field. To test this idea, we have varied the injector current (I) and measured the non-local voltage, which shows a linear characteristic (Supplementary Fig. 7c), excluding Joule heating as a possibility. On the other hand, the Ettingshausen effect is the magnetic analogue of the Peltier effect where charge flow in a sample subject to a magnetic field creates a thermal gradient (Fig. 3c), leading to a non-local voltage at the detector linear in current via the Nernst effect29. The measured non-local voltage with the injector current is linear in our sample, which suggests the Ettingshausen–Nernst effect as the source of the non-local MR. Non-local contacts with different L have been examined and all exhibit a linear relationship between currents and non-local voltages. The cosine dependence of RNL with respect to the magnetic field also suggests the Ettingshausen–Nernst effect as the cause, since both Ettingshausen and Nernst effects generate thermal voltages via the Lorentz force, which is cosine dependent on the magnetic field.
A giant non-local signal has been reported in the presence of a magnetic field in single-layer graphene at low temperatures and the origin is attributed to the Zeeman spin Hall effect (ZSHE)30. In addition, thermal-related Nernst and Ettingshausen effects are reported in single-layer graphene at low temperatures, which results in a non-local signal28. We consider the ZSHE and its inverse at the CNP due to combined Zeeman and orbital effects; however, the Zeeman splitting energy, gμBB∼1 meV (for g=2 and the intensity of the applied magnetic field B=9 T) is too small in comparison with the thermal energy (26 meV) to explain a large RNL of∼1 kΩ at 300 K. The ZSHE-induced RNL is related to (due to orbital effect) and Btot (due to Zeeman effect), where the total applied field . Here the orbital effect is a complicated function of geometry and , whereas Btot is independent of the orientation of the magnetic field. However, the measured non-local signal in Fig. 3h is a simple cosine function of the angle that argues against the ZSHE. It should be noted that the non-local signal is maximum when the magnetic field is normal to the graphene plane, which argues against the Zeeman effect where it is independent of the orientation of the magnetic field.
It is clear from the above discussion that the deviation of MR from cosine dependency at 2 K shown in Fig. 3e (as well in Supplementary Fig. 2a) is most probably originated from quantum effects. However, its magnitude is much smaller than ohmic and thermomagnetic contributions. In addition, we geometrically separate the contributions from ohmic and thermomagnetic effects, both of which are cosine dependent, and unambiguously confirm that classical MR (ohmic and thermomagnetic) contributions are dominant at all temperatures. For the first time, we show that the thermomagnetic effects can be observed even at an elevated temperature of 350 K in few-layer graphene sample (Supplementary Fig. 10a). It is to be noted here that the Ettingshausen and Nernst effects are typically observed in poor thermal conductors such as Bismuth31. Graphene is reported to have the highest thermal conductivity32,33, and thermal gradients were thought to be highly unlikely. However, we show that near the CNP, where the carrier density is at minimum, thermal gradients exist and the thermal conductivity of graphene can be tuned from high to low with a back gate voltage. This opens a possibility of graphene-based thermal switch devices with a gate tunable thermal conductivity.
The stacking has been shown to affect the electrical transport properties of trilayer graphene34, especially at the CNP and at low temperatures. In a four-layer graphene, four stacking sequences are possible, such as ABAB (Bernal), ABCA (rhombohedral), ABAC and ABCB. Among these, the last two are electronically predicted to be unstable35. A theoretical study36 on four-layer graphene predicted a semi-metallic band structure for ABAB stacking, whereas for ABCA stacking, a gaped band structure is predicted. Since we observe a CNP in our few-layer graphene samples, this is suggestive of a Bernal stacking. We have not made an attempt to differentiate the effect of stacking sequences on MR in this study, and we believe that the stacking sequence can probably change the magnitude of MR via change in interlayer coupling, however, the physics will remain the same. Modelling MR with the inclusion of stacking sequence when the layer number is >3 may be computationally challenging as the number of parameters are very large. Nevertheless, we believe that this is a very interesting subject for future studies.
Graphene has been prepared by mechanically peeling Kish graphite and transferred to either heavily doped silicon with a layer (300 nm thick) of SiO2 on top of Si or to BN previously transferred by a dry transfer technique18. The samples have been annealed in forming gas at 250 °C in every step of fabrication to improve the interface quality. Electrodes were patterned by e-beam lithography using a bilayer resist combination of MMA/PMMA and subsequently Cr/Au (7 nm/95 nm) was deposited by an e-beam evaporator, where a large distance between the source materials and the sample keeps the damage induced in graphene at minimal. Standard lift-off procedures using warm acetone were followed after the deposition. Optical microscope-based contrast is used to get initial information about the number of layers. In order to determine the quality and thickness of graphene, Raman spectroscopy measurements were carried out (Supplementary Fig. 4). A laser wavelength of 532 nm with a power density ∼0.5 mW cm−2 was used to avoid any laser-induced heating.
The electrical transport measurements were carried out in a physical property measurement system under helium atmosphere with a source meter (Model 2400, Keithley Inc.) and a multimeter (Model 2002, Keithley Inc.). Before the measurement, the samples have been annealed for 2 h at 400 K under helium atmosphere to remove any adsorbed water vapour. To apply back gate bias, the source terminal was connected to the back gate and the leakage current through the SiO2 (or BN/SiO2) layer was monitored.
How to cite this article: Gopinadhan, K. et al. Extremely large magnetoresistance in few-layer graphene/boron–nitride heterostructures. Nat. Commun. 6:8337 doi: 10.1038/ncomms9337 (2015).
Ripka, P. & Janosek, M. Advances in magnetic field sensors. IEEE Sensors J. 10, 1108–1116 (2010).
Parkin, S. S. P. et al. Giant tunnelling magnetoresistance at room temperature with MgO (100) tunnel barriers. Nat. Mater. 3, 862–867 (2004).
Yuasa, S., Nagahama, T., Fukushima, A., Suzuki, Y. & Ando, K. Giant room-temperature magnetoresistance in single-crystal Fe/MgO/Fe magnetic tunnel junctions. Nat. Mater. 3, 868–871 (2004).
Novoselov, K. S. et al. Two-dimensional gas of massless Dirac fermions in graphene. Nature 438, 197–200 (2005).
Castro Neto, A. H., Guinea, F., Peres, N. M. R., Novoselov, K. S. & Geim, A. K. The electronic properties of graphene. Rev. Mod. Phys. 81, 109–162 (2009).
Zhang, Y. B., Tan, Y. W., Stormer, H. L. & Kim, P. Experimental observation of the quantum Hall effect and Berry's phase in graphene. Nature 438, 201–204 (2005).
Friedman, A. L. et al. Quantum linear magnetoresistance in multilayer epitaxial graphene. Nano Lett. 10, 3962–3965 (2010).
Abrikosov, A. A. Quantum linear magnetoresistance. Europhys. Lett. 49, 789–793 (2000).
Liao, Z.-M. et al. Large magnetoresistance in few layer graphene stacks with current perpendicular to plane geometry. Adv. Mater. 24, 1862–1866 (2012).
Morozov, S. V. et al. Giant intrinsic carrier mobilities in graphene and its bilayer. Phys. Rev. Lett. 100, 016602 (2008).
González, J. C. et al. Sample-size effects in the magnetoresistance of graphite. Phys. Rev. Lett. 99, 216601 (2007).
Gopinadhan, K., Shin, Y. J., Yudhistira, I., Niu, J. & Yang, H. Giant magnetoresistance in single-layer graphene flakes with a gate-voltage-tunable weak antilocalization. Phys. Rev. B 88, 195429 (2013).
Kim, W. Y. & Kim, K. S. Prediction of very large values of magnetoresistance in a graphene nanoribbon device. Nat. Nanotechnol. 3, 408–412 (2008).
Bai, J. et al. Very large magnetoresistance in graphene nanoribbons. Nat. Nanotechnol. 5, 655–659 (2010).
Kamalakar, M. V., Dankert, A., Bergsten, J., Ive, T. & Dash, S. P. Enhanced tunnel spin injection into graphene using chemical vapor deposited hexagonal boron nitride. Sci. Rep. 4, 6146 (2014).
Chen, J.-J. et al. Layer-by-layer assembly of vertically conducting graphene devices. Nat. Commun. 4, 1921 (2013).
Dean, C. R. et al. Boron nitride substrates for high-quality graphene electronics. Nat. Nanotechnol. 5, 722–726 (2010).
Britnell, L. et al. Field-effect tunneling transistor based on vertical graphene heterostructures. Science 335, 947–950 (2012).
Yamamoto, M., Einstein, T. L., Fuhrer, M. S. & Cullen, W. G. Charge inhomogeneity determines oxidative reactivity of graphene on substrates. ACS Nano 6, 8335–8341 (2012).
Klein, C. A. & Straub, W. D. Carrier densities and mobilities in pyrolytic graphite. Phys. Rev. 123, 1581–1583 (1961).
Guinea, F. Charge distribution and screening in layered graphene systems. Phys. Rev. B 75, 235433 (2007).
Kuroda, M. A., Tersoff, J. & Martyna, G. J. Nonlinear screening in multilayer graphene systems. Phys. Rev. Lett. 106, 116804 (2011).
Sui, Y. & Appenzeller, J. Screening and interlayer coupling in multilayer graphene field-effect transistors. Nano Lett. 9, 2973–2977 (2009).
Sun, D. et al. Spectroscopic measurement of interlayer screening in multilayer epitaxial graphene. Phys. Rev. Lett. 104, 136802 (2010).
Abanin, D. A., Shytov, A. V., Levitov, L. S. & Halperin, B. I. Nonlocal charge transport mediated by spin diffusion in the spin Hall effect regime. Phys. Rev. B 79, 035304 (2009).
Mihajlović, G., Pearson, J. E., Garcia, M. A., Bader, S. D. & Hoffmann, A. Negative nonlocal resistance in mesoscopic gold Hall bars: absence of the giant spin Hall effect. Phys. Rev. Lett. 103, 166601 (2009).
Zuev, Y. M., Chang, W. & Kim, P. Thermoelectric and magnetothermoelectric transport measurements of graphene. Phys. Rev. Lett. 102, 096807 (2009).
Renard, J., Studer, M. & Folk, J. A. Origins of nonlocality near the neutrality point in graphene. Phys. Rev. Lett. 112, 116601 (2014).
Delves, R. T. Thermomagnetic effects in semiconductors and semimetals. Rep. Prog. Phys. 28, 249–289 (1965).
Abanin, D. A. et al. Giant nonlocality near the Dirac Point in graphene. Science 332, 328–330 (2011).
de Sande, J. C. G. & Guerra, J. M. Nernst-Ettingshausen effect in polycrystalline bismuth at high temperature. Phys. Rev. B 45, 11469 (1992).
Balandin, A. A. et al. Superior thermal conductivity of single-layer graphene. Nano Lett. 8, 902–907 (2008).
Xu, X. et al. Length-dependent thermal conductivity in suspended single-layer graphene. Nat. Commun. 5, 3689 (2014).
Bao, W. et al. Stacking-dependent band gap and quantum transport in trilayer graphene. Nat. Phys. 7, 948–952 (2011).
Aoki, M. & Amawashi, H. Dependence of band structures on stacking and field in layered graphene. Solid State Commun. 142, 123–127 (2007).
Latil, S. & Henrard, L. Charge carriers in few-layer graphene films. Phys. Rev. Lett. 97, 036803 (2006).
This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore, under its Competitive Research Programme (CRP Award No. NRF-CRP6-2010-5) and its Medium Size Centre programme.
The authors declare no competing financial interests.
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Gopinadhan, K., Shin, Y., Jalil, R. et al. Extremely large magnetoresistance in few-layer graphene/boron–nitride heterostructures. Nat Commun 6, 8337 (2015). https://doi.org/10.1038/ncomms9337
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