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Mass inversion at the Lifshitz transition in monolayer graphene by diffusive, high-density, on-chip, doping

Ayse Melis Aygar Dept. of Electrical and Computer Engineering, McGill University, Québec, Montréal, H3A-0E9, Canada    Oliver Durnan Dept. of Electrical Engineering, Columbia University, New York, NY, 10027, USA    Bahar Molavi Dept. of Electrical and Computer Engineering, McGill University, Québec, Montréal, H3A-0E9, Canada    Sam N. R. Bovey Dept. of Electrical and Computer Engineering, McGill University, Québec, Montréal, H3A-0E9, Canada    Alexander Grüneis Institut für Festkörperelektronik, Technische Universität Wien, Vienna, 1040, Austria    Thomas Szkopek Dept. of Electrical and Computer Engineering, McGill University, Québec, Montréal, H3A-0E9, Canada thomas.szkopek@mcgill.ca
Abstract

Experimental setups for charge transport measurements are typically not compatible with the ultra-high vacuum conditions for chemical doping, limiting the charge carrier density that can be investigated by transport methods. Field-effect methods, including dielectric gating and ionic liquid gating, achieve too low a carrier density to induce electronic phase transitions. To bridge this gap, we developed an integrated flip-chip method to dope graphene by alkali vapour in the diffusive regime, suitable for charge transport measurements at ultra-high charge carrier density. We introduce a cesium droplet into a sealed cavity filled with inert gas to dope a monolayer graphene sample by the process of cesium atom diffusion, adsorption and ionization at the graphene surface, with doping beyond an electron density of 4.7×1014cm24.7\times 10^{14}~{}\mathrm{cm}^{-2} monitored by operando Hall measurement. The sealed assembly is stable against oxidation, enabling measurement of charge transport versus temperature and magnetic field. Cyclotron mass inversion is observed via the Hall effect, indicative of the change of Fermi surface geometry associated with the Liftshitz transition at the hyperbolic MM point of monolayer graphene. The transparent quartz substrate also functions as an optical window, enabling non-resonant Raman scattering. Our findings show that chemical doping, hitherto restricted to ultra-high vacuum, can be applied in a diffusive regime at ambient pressure in an inert gas environment and thus enable charge transport studies in standard cryogenic environments.

1 Introduction

The electron transport properties of nearly charge neutral graphene have been the subject of intense investigation. Much less is know about the electron transport properties of heavily electron doped graphene, where the massive, hyperbolic dispersion at the MM saddle points in the Brillouin zone lead to a van Hove singularity (vHS) in the density of states 1, 2, 3, 4. Angle resolved photoemission spectroscopy (ARPES) studies have mapped the Fermi surface of heavily doped monolayer graphene in the vicinity of the MM point 1, 5, 6, 7, 8. The role of many-body interactions in flattening and thereby extending the vHS is a matter of active debate9, 10, 11. Indeed, it can be difficult to probe many-body effects by ARPES due to the flattness of the band, further motivating investigation by complementary methods such as charge transport. The emergence of superconductivity in doped monolayer graphene prompted by strong electron-phonon coupling at the extended vHS has been the subject of theoretical inquiry 12, 13 and experimental evidence of electron-phonon coupling enhancement has been reported 14. Charge transport is one of several physical properties that are sensitive to changes in the Fermi surface geometry at a vHS 15, known as a Lifshitz transition (Fig. 1), yet no transport measurements in heavily doped graphene in the vicinity of the vHS have been reported to date.

Alkaline metal doping (Li, K, Ca, Cs) and rare earth doping (Er, Yb) of graphene in an ultra-high vacuum (UHV) environment has enabled doping in excess of n=4×1014cm2n=4\times 10^{14}~{}\mathrm{cm}^{-2} for surface science studies of graphene 1, 5, 6, 7, 10, 9, 8. However, UHV environment requirements are rarely fulfilled in charge transport measurements, particularly in high magnetic field experiments. Li doping of epitaxial graphene on SiC in an integrated deposition and cryogenic charge transport measurement system was used to achieve electron densities as high as 2.2×1014cm22.2\times 10^{14}~{}\mathrm{cm}^{-2} 16. Ionic liquid gating has enabled electron doping in the range of 0.52×1014cm20.5-2\times 10^{14}~{}\mathrm{cm}^{-2} in electrically contacted graphene on Si/SiO2 substrates 17, 18, 19. Ion exchange glass has achieved doping up to 3.8×1014cm23.8\times 10^{14}~{}\mathrm{cm}^{-2} with potassium20. Lithium polymer electrolytic gating has been used to achieve electron doping as high as 2×1014cm22\times 10^{14}~{}\mathrm{cm}^{-2} in electrically contacted bilayer graphene 21 and can be integrated with magnetotrasport measurements. Transmission electron microscopy reveals domains with superdense Li ordering in suspended graphene bilayers corresponding to n=4×1014cm2n=4\times 10^{14}~{}\mathrm{cm}^{-2} per graphene sheet 22, below the monolayer vHS threshold. There is thus a need to develop new methods that combine the advantages of chemical doping, high electron density and selection of chemical species, that can be easily integrated with existing charge transport experimental environments.

Refer to caption
Figure 1: Monolayer graphene doping and the Lifshitz transition A schematic of the Fermi surface contours in π\pi\ast conduction band of monolayer graphene vs. doping. Electron and hole pockets are shown in green and yellow, respectively. The Lifshitz transition is estimated to occur at n=3.75.1×1014cm2n=3.7-5.1\times 10^{14}~{}\mathrm{cm}^{-2} 7, 8. The charge carrier densities achieved in ARPES, Raman and UV-VIS (below) and charge transport studies (above) are summarized.

We present here an integrated flip-chip method to dope graphene by alkali vapour in the diffusive regime, suitable for charge transport measurements at ultra-high charge carrier density. The method enables operando electronic characterization and allows the hermetically sealed device to be analyzed without the requirement of UHV or inert gas environmental conditions. We demonstrate our method by doping electrically contacted large-area graphene to ultra-high charge carrier density, reaching n=4.7×1014cm2n=4.7\times 10^{14}~{}\mathrm{cm}^{-2} as confirmed by the inversion of effective mass in high-field Hall measurements. This flip-chip method is versatile: it can be applied to different host material and dopant systems, and is not limited to monolayer or few-layer host materials.

The method is compatible with operando charge transport characterization during alkali doping. As shown in Fig. 2a), flip-chip encapsulation of an alkaline metal vapour source in an inert gas environment electron dopes electrically contacted graphene. The impermeability of the encapsulation to external oxidizing agents permits sample manipulation in an ambient atmospheric environment, enabling the study of heavily doped graphene by different experimental techniques. We report here operando measurements of the graphene resistivity tensor elements ρxx\rho_{xx} and ρxy\rho_{xy} in an AC magnetic field during the doping process, as well as the measurement of Hall effect, weak-localization and magnetoresistance at cryogenic temperature T=1.3T=1.3 K at magnetic fields up to B=7B=7 T. Cryogenic Hall measurements reveal inversion of the Hall coefficient, corresponding to the inversion of the cyclotron effective mass m=2(2π)1Ak/EFm_{*}=\hbar^{2}(2\pi)^{-1}\partial A_{k}/\partial E_{F}, where AkA_{k} is the area subtended by the Fermi-surface 23, as expected at the Lifshitz transition at the hyperbolic MM point of heavily doped graphene (Fig. 1). Non-resonant Raman measurement of heavily doped graphene through the optically transparent quartz substrate reveals a GG peak Raman shift in agreement with previous reports of heavily doped graphene 5.

2 Experimental Methods

We used graphene grown by chemical vapour deposition (CVD) on poly-crystalline copper foil in a cold wall CVD reactor (Aixtron BM) at Graphenea, and transferred onto a 100 mm diameter quartz (001) substrate following sacrificial etch of the copper growth substrate. The graphene crystal domain size is estimated to be 1.5 μ\mum by Raman spectroscopy (see Supplementary Information). Quartz is the substrate of choice due to its chemical inertness and optical transparency. We prepare 50μm×500μm50~{}\mathrm{\mu m}\times 500~{}\mathrm{\mu m} graphene Hall-bar devices using photo-lithographic methods, with Ti/Au (5 nm /80 nm) Ohmic contacts. Sonication in an acetone bath, followed by >24>24 hour immersion in 1,2 dichloroethane is required to minimize organic residue contamination that may inhibit charge transfer. The six-contact Hall-bar geometry enables the simultaneous measurement of four-probe longitudinal resistance Rxx=Vx/IxR_{xx}=V_{x}/I_{x} and transverse resistance Rxy=Vy/IxR_{xy}=V_{y}/I_{x}.

The flip-chip method uses a ceramic chip carrier with a cavity and gold electrodes atop a recessed mesa (Fig. 2a). A drop of Cs (10μ\approx 10~{}\muL in volume) is drop-cast by glass pipette into the cavity inside an inert gas glove box (H2O \leq 0.1 ppm and O2 \leq 1 ppm). Prior to all doping experiments, we thermally annealed the Hall bar samples and chip carriers in the inert glove box environment for >2>2 hours at 120C to remove adsorbed water. Experiments conducted in an Ar environment enabled higher doping density to be achieved than in an N2 environment. The quartz substrate with the graphene Hall bar is flipped onto the chip carrier. Pure In spheres (0.5 mm diameter) are used for reliable electrical contact between the electrodes of the chip carrier and the quartz substrate. The graphene Hall bar faces the Cs source directly and is exposed to Cs vapour within the cavity. A compact resistive heater under the chip carrier is used to increase temperature and thus Cs vapour pressure. Interestingly, these experiments are carried out in a 1 atm inert gas environment, which limits the mean free path of the Cs atoms, corresponding to a diffusive vapour transport regime as opposed to the ballistic regime of alkali doping in UHV conditions. Despite this significant difference in the vapour transport regime, we observe that similar charge carrier densities can be achieved.

Refer to caption
Figure 2: Flip-chip alkali doping method (a) Schematic of the flip-chip assembly method. A drop of Cs is placed in the chip carrier. A graphene Hall bar on quartz is brought face down to enclose the Cs in the cavity and expose graphene to Cs vapour. (b) A schematic of the AC Hall measurement configuration for the Hall bar on quartz. (c) Optical microscope image of a graphene Hall bar on quartz. The scale bar corresponds to 100 μm\mathrm{\mu m}.

An electromagnet was used for operando Hall measurement during doping in a glove box. We used an AC-DC Hall measurement configuration (Fig. 2b) with an AC magnetic field, Bzsin(ωt)B_{z}\sin(\omega t) of amplitude BzB_{z} = 20-25 mT and frequency f=3f=3 Hz, and a DC sample bias current, Ix=200μAI_{x}=200~{}\mu\mathrm{A}. A similar method has been employed for Hall measurement of organic field effect transistors 24. The Hall voltage is expected to be Vysin(ωt+θy)V_{y}\sin(\omega t+\theta_{y}) where θy\theta_{y} is 0 or π\pi according to charge carrier type. In all experiments, the direction of the bias current is selected such that Hall voltage phase θy=0\theta_{y}=0 (θy=π\theta_{y}=\pi) corresponds to electron (hole) doped graphene. The background inductive voltage was subtracted to obtain sample response.

Following Cs doping, we sealed the flip-chip cavity with a UV activated epoxy (Solarez) followed by potting epoxy compound (Loctite Stycast). The adhesives were degassed of oxidizing vapours in an inert gas environment prior to use. The sealed device was removed from the glove box for high magnetic field transport measurements and Raman spectroscopy. A representative optical image of a graphene Hall bar on quartz substrate is shown in Fig. 2c. High magnetic field (BB = 7 T) and low-temperature (TT = 1.3 K) measurement of longitudinal and transverse resistance was performed in a closed-cycle cryostat with a superconducting solenoid. Raman spectroscopy was performed with a Renishaw InVia confocal Raman microscope, 50-X magnification, λ=785\lambda=785~{}nm, P=90P=90 mW.

3 Results

CVD grown graphene transferred onto quartz is initially p-type doped (p0.91.6×1012cm2p\approx 0.9-1.6\times 10^{12}~{}\mathrm{cm}^{2}, μ=22003100cm2V1s1\mu=2200-3100~{}\mathrm{cm}^{2}\mathrm{V}^{-1}\mathrm{s}^{-1}), as measured by Hall effect in our samples prior to doping. During exposure to Cs vapour, ionization of adsorbed Cs atoms leads to valence electron donation to the graphene. The resistances RxxR_{xx} and RxyR_{xy} are shown in Fig. 3a,b during a representative Cs vapour exposure experiment. Doping is sufficiently rapid that conduction is already n-type at the beginning of the measurement. A slower doping rate in a less thoroughly cleaned graphene sample allows observation of passage through the charge neutrality point (see Supplementary Information). The Cs doping process is partially reversible, achieved by heating a doped graphene sample in Cs free chipe carrier (see Supplementary Information). The Hall coefficient RH=Rxy/BzR_{H}=-\partial{R_{xy}}/\partial{B_{z}} can be used to directly infer charge carrier density in the case of conduction by a single charge carrier type, with n=1/eRHn=-1/eR_{H} for n-type graphene. The quantity 1/eRH-1/eR_{H} and the Hall mobility μ=Rxy/(Bzρxx)\mu=R_{xy}/(B_{z}\rho_{xx}), where ρxx\rho_{xx} is the graphene resistivity determined from RxxR_{xx} and Hall bar geometry, versus time are shown in Fig. 3c,d. The chip carrier was heated to elevate Cs temperature, and thus Cs vapour pressure, doping rate, and doping density. Note that the Hall coefficient RHR_{H} becomes sufficiently small upon doping that the noise limit of the operando Hall measurement is reached, and the inferred electron density 1/eRH=7×1014cm2-1/eR_{H}=7\times 10^{14}~{}\mathrm{cm}^{-2} exceeds the stoichiometric limit of n=4.77×1014cm2n=4.77\times 10^{14}~{}\mathrm{cm}^{-2} corresponding to CsC8 observed in UHV Cs-doping experiments6. We attribute this observation to the onset of partially compensated conduction of charge carriers with positive and negative effective masses at the vHS, requiring investigation at higher magnetic field.

Refer to caption
Figure 3: Operando Hall measurement of graphene doping.(a) The Hall resistance RxyR_{xy} and (b) the longitudinal resistance RxxR_{xx} versus time tt during Cs vapour exposure. The rate of Cs doping is increased by heating the chip carrier, with sample temperature set-points for different time intervals indicated. (c) The inverse Hall coefficient, 1/eRH1/eR_{H} and (d) the Hall mobility μ\mu inferred from RxyR_{xy} and RxxR_{xx} versus time tt reveal in the increase in electron density nn and reduction in mobility. The inverse Hall coefficient reaches 1/eRH=7×1014cm21/eR_{H}=7\times 10^{14}\mathrm{cm}^{-2}, beyond the expected limit of electron density in graphene, implying the onset of compensated electron and hole conduction.

Magnetotransport experiments were conducted at high field (B=7B=7 T) and cryogenic temperature (T=1.3T=1.3 K). The Hall resistance RxyR_{xy} versus BB is shown in Fig. 4a for five samples (identified 1-5), with an inset of the low RxyR_{xy} regime. All samples show a reduction in RxxR_{xx} as temperature decreases (Fig. 4b), as well as a weak localization peak and small magnetoresistance in RxxR_{xx} versus BB (Fig. 4c). Table 1 presents a summary of the inferred charge carrier density nn, Hall mobility μ\mu and other properties of samples 1-5. Samples 1-3 exhibit n-type behaviour with charge carrier density up to n=4.77×1014cm2n=4.77\times 10^{14}~{}\mathrm{cm}^{-2}. Samples 4 and 5 exhibit a reciprocal Hall coefficient 1/RH1/R_{H} too large to be attributed to a single charge carrier type, with sample 5 exhibiting an inversion in the sign of the Hall coefficient corresponding to a change from n-type to p-type conduction.

To gain further insight into the electronic properties of these heavily doped samples, a third-nearest neighbour tight-binding (3NNTB) calculation of electronic band structure using hopping and overlap parameters determined from ARPES25 was performed. From the 3NNTB electronic structure and experimental electron density nn, the Fermi level EFE_{F} was inferred, and Fermi surfaces identified in the graphene π\pi* band (Fig. 4d,e). The compensated conduction of samples 4 and 5 correspond to a Fermi surface below and above, respectively, the Lifshitz transition where EF=EM=1.93E_{F}=E_{M}=1.93 eV. The Hall coefficient in the vicinity of the Lifshitz transition can be understood with a simple two-band model 23 in the low-field limit,

RH=σn2Rn+σp2Rp(σn+σp)2R_{H}=\frac{\sigma^{2}_{n}R_{n}+\sigma^{2}_{p}R_{p}}{(\sigma_{n}+\sigma_{p})^{2}} (1)

where RjR_{j} and σj\sigma_{j} are the Hall coefficients and conductivities of two j=n,pj=n,p bands. Electrons at EF=1.93δE_{F}=1.93-\delta eV for small δ\delta are characterized by a Hall coefficient Rn=1/(2eAK)=4.74×1014cm2R_{n}=-1/(2eA_{K})=-4.74\times 10^{14}~{}\mathrm{cm}^{-2}, where AKA_{K} is the area around the KK and KK^{\prime} points enclosed by the Fermi surface in the first Brillouin zone. The factor of 2 accounts for spin degeneracy, and the numerical value of RnR_{n} is inferred from 3NNTB calculation. Electrons at EF=1.93+δE_{F}=1.93+\delta eV for small δ\delta are characterized by a Hall coefficient Rp=1/(2eAΓ)=3.34×1015cm2R_{p}=1/(2eA_{\Gamma})=3.34\times 10^{15}~{}\mathrm{cm}^{-2}, where AΓA_{\Gamma} is the area enclosing Γ\Gamma with opposite cyclotron motion to that of RnR_{n}. Equivalently, the effective cyclotron mass m/m0=2(2πm0)1Ak/EFm_{*}/m_{0}=\hbar^{2}(2\pi m_{0})^{-1}\partial A_{k}/\partial E_{F} reverses sign as EFE_{F} crosses the vHS beyond the equi-energy contours connecting the MM-points, and AkA_{k} undergoes a discontinuous change from an n-type AKA_{K} to a p-type AΓA_{\Gamma}. With the two-band model of Eq. 1, we find that σp/σn=0.13\sigma_{p}/\sigma_{n}=0.13 and 3.073.07 for samples 4 and 5, respectively, corresponding to net n-type and p-type behaviour in the vicinity of the vHS. As electron doping increased, conduction in the electron pockets around KK and KK^{\prime} is closed and conduction in the hole pocket around Γ\Gamma is opened.

Table 1: Physical properties of highly doped graphene. Various experimentally measured and model parameters for samples 1-5, including inverse Hall coefficient (eRH)1(eR_{H})^{-1}, inferred doping density nn, the Hall mobility μ\mu, the estimated CsCx coverage estimated from the ratio of the doping density to the carbon atomic density nC=3.82×1015cm2n_{C}=3.82\times 10^{15}~{}\mathrm{cm}^{-2} in a graphene sheet, x1=n/nCx^{-1}=n/n_{C}. The Fermi level EFE_{F} and effective mass mm_{*} are determined from the experimental density nn and a 3NNTB band structure calculation. The effective mass mm_{*} diverges at the Lifshitz transition.
(eRH)1(eR_{H})^{-1} nn μ\mu CsCx EfE_{f} m/m0m_{\ast}/m_{0}
(cm2\mathrm{cm}^{-2}) (cm2\mathrm{cm}^{-2}) (cm2V1s1\mathrm{cm}^{2}\mathrm{V}^{-1}\mathrm{s}^{-1}) (eV)
Sample 1 1.4×1014-1.4\times 10^{14} 1.4×10141.4\times 10^{14} 319 CsC27.3 1.25 0.290
Sample 2 2.0×1014-2.0\times 10^{14} 2.0×10142.0\times 10^{14} 298 CsC19.1 1.45 0.371
Sample 3 4.0×1014-4.0\times 10^{14} 4.0×10144.0\times 10^{14} 137 CsC9.5 1.85 1.036
Sample 4 6.1×1014-6.1\times 10^{14} 4.7×1014\approx 4.7\times 10^{14} 38 CsC8.1 1.93 - δ\delta -
Sample 5 +2.3×1016+2.3\times 10^{16} 4.7×1014\approx 4.7\times 10^{14} 59 CsC8.1 1.93 + δ\delta -

Quadratic magnetoresistance RxxR_{xx} versus BB is observed at high field and a weak-localization peak is observed at low field. Omitting the low field regions (|B|<0.5|B|<0.5 T), the magnetoresistance was fit to a quadratic form Rxx(B)=R0[1+A(μB)2]R_{xx}(B)=R_{0}\left[1+A(\mu B)^{2}\right]. Here, AA is a dimensionless coefficient and R0R_{0} is the zero-field resistance Rxx(0)R_{xx}(0) in the absence of the quantum effects, namely weak-localization. It is not possible to unambiguously identify the origin of magnetoresistance from the observation of a quadratic dependence on BB. The two-band conduction model 23 attributes quadratic magnetoresistance to the coexistance of a uniform distribution of two carrier types. The effective medium theory of Ping et al.26 attributes quadratic magnetoresistance to inhomogeneity in charge carrier density in graphene. If inhomogeneity in charge density leads to electron-hole puddle formation, deviation from quadratic magnetoresistance can be observed only in the limit of large magnetoresistance 27, beyond what is observable in heavily doped graphene at B=7B=7 T.

Refer to caption
Figure 4: High-field magnetotransport (a) Hall resistance RxyR_{xy} versus magnetic field BB at T=1.3T=1.3 K for Cs-doped graphene samples 1-5. The inverse Hall coefficients 1/eRH1/eR_{H} inferred from RxyR_{xy} are listed. Samples 1-4 show n-type RxyR_{xy}, while sample 5 shows p-type RxyR_{xy}, see inset. (b) The longitudinal resistance RxxR_{xx} versus temperature TT at B=0B=0 T, showing metallic behaviour for samples 1-5. (c) Normalized longitudinal resistance Rxx/R0R_{xx}/R_{0} versus BB at T=1.3T=1.3 K, with R0R_{0} the zero-field resistance without weak-localization contribution. (d,e) Iso-energy contours of the conduction π\pi* band calculated with a third-nearest-neighbour tight binding (3NNTB) model. The Fermi energies EFE_{F} and Fermi surfaces corresponding to the carrier densities nn of samples 1-5 are indicated. Hall coefficient and cyclotron mass inversion occurs at the Lifshitz transition, with EF=1.93E_{F}=1.93 eV.
Refer to caption
Figure 5: Weak-localization of highly doped graphene (a) Conductivity difference Δσxx\Delta\sigma_{xx} vs. BB of sample 5, doped above the Lifshitz transition. Experimental measurements (points) and fit to Eq. 2 (solid line) are both shown. (c) Scattering lengths LϕL_{\phi} and LiL_{i} versus density nn for samples 1-3, 5 at temperature T=1.3T=1.3 K. The estimated mean-free path, L0L_{0}, is also indicated. (c) Schematic of intervalley scattering and intravalley scattering processes in momentum space, associated with LiL_{i} and LL_{\ast}, respectively.

All samples exhibited a weak localization (WL) peak in RxxR_{xx} versus BB in the low-field regime (Fig.3c). WL occurs due to quantum coherent back-scattering of charge carriers, enhancing resistivity at B=0B=0 T, with the effect disappearing by introduction of magnetic flux breaking the phase coherence of back-scattering events 28, 29, 30, 31, 32, 33. Weak-localization is sensitive to the contributions from multiple scattering mechanisms characterized by the following scattering lengths: phase coherence length, LϕL_{\phi}, intervalley scattering length, LiL_{i}, and intravalley scattering length LL_{\ast}. The intervalley and intravalley scattering processes are illustrated schematically in Fig. 4c. The WL correction to longitudinal conductivity, Δσxx=σxx(B)σxx(0)\Delta\sigma_{xx}=\sigma_{xx}(B)-\sigma_{xx}(0), has been analytically calculated for weakly doped graphene where the Dirac cone is an accurate model for dispersion28, 29,

Δσxx(B)=\displaystyle\Delta\sigma_{xx}(B)= e2πh[F(8πBΦ0Lϕ2)F(8πBΦ0(Lϕ2+2Li2))\displaystyle\frac{e^{2}}{\pi h}\left[F\left(\frac{8\pi B}{\Phi_{0}L_{\phi}^{-2}}\right)-F\left(\frac{8\pi B}{\Phi_{0}\left(L_{\phi}^{-2}+2L_{i}^{-2}\right)}\right)\right.
2F(8πBΦ0(Lϕ2+Li2+L2))]\displaystyle\left.-2F\left(\frac{8\pi B}{\Phi_{0}\left(L_{\phi}^{-2}+L_{i}^{-2}+L_{\ast}^{-2}\right)}\right)\right] (2)

where F(z)=lnz+ψ(0.5+z1)F(z)=\ln z+\psi\left(0.5+z^{-1}\right), ψ(x)\psi(x) is the digamma function and Φ0=h/e\Phi_{0}=h/e is the flux quantum. For magnetic field |B|<0.5|B|<0.5 T, ρxy(B)ρxx(B)\rho_{xy}(B)\ll\rho_{xx}(B) and thus σxx(B)ρxx1(B)\sigma_{xx}(B)\approx\rho_{xx}^{-1}(B). A numerical fit of the experimental Δσxx\Delta\sigma_{xx} over |B|<0.5|B|<0.5 T to Eq. 2 was used to determine the scattering lengths, with a representative example shown in Fig.5(a) for sample 5 (see Supplementary Information for other samples). The scattering lengths LϕL_{\phi} and LiL_{i} versus doping density nn at T=1.3T=1.3 K are shown in Fig. 5b. The magnetoresistance is less than 3% of the magnitude of the WL resistance peak for |B|0.5|B|\leq 0.5 T, and error bars were determined by the fit parameter deviation that increases the sum of squares error between fit and measurement two-fold over that at optimum fit value. At T=1.3T=1.3 K, the phase coherence lengths are in the range Lϕ=0.41.0μmL_{\phi}=0.4-1.0~{}\mu\mathrm{m} and the intervalley scattering lengths are in the range Li=45120L_{i}=45-120 nm in our heavily doped graphene samples, in general agreement with previous reports of WL in graphene 30, 33, 34. The shortening of LϕL_{\phi} and LiL_{i} with increasing carrier density nn over the range 10111.5×1013cm210^{11}-1.5\times 10^{13}~{}\mathrm{cm}^{-2} has been previously observed in monolayer graphene 34.

Being shorter than the estimated mean free path L0L_{0}, the intravalley scattering length LL_{\ast} could not be reliably determined by fit of Eq. 2 to the experimental Δσxx\Delta\sigma_{xx} 32, 35. As the effective mass diverges at the Lifshitz transition, the more weakly doped samples 1-3 were used to estimate the mean free path L0=vFτ50L_{0}=v_{F}\tau\approx 50 nm, where vF=EF/mv_{F}=\sqrt{E_{F}/m^{*}} is the Fermi velocity and the scattering time τ\tau is estimated from μ=eτ/m\mu=e\tau/m^{*}. Nonetheless, we may observe that trigonal warping is the dominant source of intravalley scattering at densities of n1014cm2n\approx 10^{14}~{}\mathrm{cm}^{-2} with an estimated scattering length 28, 34,

LLw=(332)1/2a0(γ0EF)2,\displaystyle L_{\ast}\approx L_{w}=\left(\frac{3^{3}}{2}\right)^{1/2}a_{0}\left(\frac{\gamma_{0}}{E_{F}}\right)^{2}, (3)

where a0=2.46Åa_{0}=2.46~{}\mathrm{\AA} is the graphene lattice constant and γ0=3.441\gamma_{0}=-3.441 eV is the nearest-neighbour hopping energy (see Supplementary Information), corresponding to Lw=37L_{w}=3-7 nm. This model is based on a 1NN approximation that is appropriate to weakly-doped graphene where a Dirac cone approximation to energy-momentum dispersion is accurate. A theoretical treatment of the scattering rates and lengths near the vHS of monolayer graphene has yet to be developed for doping levels close to the Lifshitz transition.

Refer to caption
Figure 6: Raman spectroscopy of highly doped graphene (a) Raman spectra of doped graphene samples with varying carrier densities in the spectral regions of the GG-peak and GG^{\prime}(2D2D)-peak regions. (b) Evolution of the experimentally measured GG-peak position ωG\omega_{G} vs. carrier density nn (dots, blue for Cs doped samples and red for native doping). The theoretical model of GG-peak shift ΔωG\Delta\omega_{G} given by Eq. 4 (grey line) with α=0.36\alpha=0.36 is in good agreement with experiment (c) Illustration of the non-resonant Raman scattering process, with Fermi level EFE_{F} corresponding to a carrier density n=2.0×1014n=2.0\times 10^{14} cm2\mathrm{cm}^{-2} (orange line), and the corresponding occupied electronic states highlighted (black) with a 3NNTB model of electronic structure. The non-resonant Raman scattering process with an incident photon energy Ei=1.58E_{i}=1.58 eV is illustrated.

Beyond charge transport measurements, Raman spectroscopy provides an independent experimental probe of charge carrier density via the measured shift of the vibrational frequencies to the effects of lattice expansion and electron-phonon coupling. Raman Stokes spectra were measured in an series of Cs-doped graphene samples independent of those used in charge transport experiments. Fig. 6a presents the room temperature Raman spectra of several samples with different doping densities nn determined from AC Hall measurements. The Raman GG-peak position, initially at 1586 cm-1 for pristine samples with native doping, shifts up with doping and reaches a peak value of 1613 cm-1, followed by a slight downshift with further doping (Fig. 6b) in qualitative agreement with previous experimental observations of ionic liquid gated graphene36, 37, 38, Rb-doped graphene on SiO2 39, and Cs-doped graphene on Ir 5, and first-principles calculations of the E2gE_{2g} Γ\Gamma phonon hardening / softening 40. Further insight can be obtained by comparison of the observed GG-peak shift, ΔωG\Delta\omega_{G}, relative to pristine samples with the model of Hell et al.5,

ΔωG=αΔωS+ΔωD,\displaystyle\Delta\omega_{G}=\alpha\Delta\omega_{S}+\Delta\omega_{D}, (4)

where the static contribution, ΔωS\Delta\omega_{S}, is associated with lattice expansion and adiabatic electron-phonon coupling, α\alpha is the ratio of static GG-peak shift of graphene in the presence of graphene-substrate interactions to that of an ideally decoupled graphene, and the dynamic contribution, ωD\omega_{D}, is associated with non-adiabatic electron-phonon coupling effects. The static contribution ΔωS\Delta\omega_{S} is estimated with an analytic approximation to numerical calculation 40. The dynamic contribution ΔωD\Delta\omega_{D} is determined by numerical calculation of the electron-phonon coupling 40, using 3NNTB electronic structure 25 and the deformation potential, D2=63.1eV2/Å2D^{2}=63.1~{}\mathrm{eV^{2}/\AA^{2}} derived from ARPES analysis of Cs doped graphene 5 (see Supplementary Information). A fit of the experimentally observed ΔωG\Delta\omega_{G} to the model of Eq. 4, shown in Fig. 6b gives agreement with α=0.36\alpha=0.36. In comparison with Cs doped graphene on Ir (111), where α=0.18\alpha=0.18 was found 5, the interaction of graphene transferred to quartz suppresses lattice expansion to a lesser degree than epitaxial graphene on Ir (111).

Increased Cs-doping also suppresses the GG^{\prime}(2D2D) peak intensity relative to the GG peak intensity (Fig. 4a), in agreement with experiments with ionic liquid gated doped graphene 37, 19 and Rb-doped graphene 39. We used pump excitation at λ=785\lambda=785 nm (Ei=ωi=1.580E_{i}=\hbar\omega_{i}=1.580 eV) to minimize fluorescence. At this excitation energy, Ei<2|EF|E_{i}<2|E_{F}| as illustrated in Fig. 4c, and Raman scattering is strongly detuned from resonance. Under the highly detuned conditions of our experiments, the GG^{\prime}(2D2D) peak intensity is expected to be diminished to a greater extent than the GG peak intensity as detuning increases with doping, since the GG^{\prime}(2D2D) and GG processes are 2nd order and 1st order, respectively. In summary, Raman spectroscopy provides an independent confirmation of the high doping achieved in Cs doped graphene produced in this study.

4 Conclusion

We have demonstrated a comparatively facile method utilizing an inert glove box environment for doping graphene to a high charge carrier density, up to 4.7×1014cm24.7\times 10^{14}~{}\mathrm{cm}^{-2}, approaching the stoichiometric limit CsC8, and sufficient to observe effective mass inversion at the Lifshitz transition of monolayer graphene. The method permits operando charge transport characterization during alkali doping, and enables further experimental characterization by methods such as magnetotransport and Raman spectroscopy. Surprisingly, this method shows that the charge densities that can be achieved by alkali doping in a diffusive vapour transport regime are similar to those achieved in UHV conditions. The charge carrier density reached by this method exceeds previous reports, and is thus anticipated to enable studies of highly doped few-layer materials, complementing ARPES studies of highly doped systems on metallic substrates. The extension of the doping method presented here to other alkali dopants and target materials and devices may provide a new means of exploring the physics of highly doped low-dimensional systems such as heavily doped black phosphorus which have been shown to exhibit bandgap modulation, closure, and inversion owing to an unusually strong Stark effect 41, 42, or alkali doped C60 to synthesize high critical temperature superconductors 43. In terms of commercial applications, the flip-chip method can be implemented to dope microfabricated ion traps designed for quantum computing 44.

5 Acknowledgements

A.M.A., O.D., S.N.R.B. and T.S. acknowledge financial support from the Natural Sciences and Engineering Research Council of Canada (RGPIN-2018-04851,ALLRP-571923-22), Fonds de recherche du Québec – Nature et technologies (299633), and technical assistance from the Laboratoire de Microfabrication, École Polytechnique, Montréal. A.G. acknowledges Deutsche Forschungsgemeinschaft projects SE2575/4 and GR3708/4-1.

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