Tuning the electronic transport properties of graphene through functionalisation with fluorine
© Withers et al; licensee Springer. 2011
Received: 18 May 2011
Accepted: 12 September 2011
Published: 12 September 2011
We demonstrate the possibility to tune the electronic transport properties of graphene mono-layers and multi-layers by functionalisation with fluorine. For mono-layer samples, with increasing the fluorine content, we observe a transition from electronic transport through Mott variable range hopping (VRH) in two dimensions to Efros-Shklovskii VRH. Multi-layer fluorinated graphene with high concentration of fluorine show two-dimensional Mott VRH transport, whereas CF0.28 multi-layer flakes exhibit thermally activated transport through near neighbour hopping. Our experimental findings demonstrate that the ability to control the degree of functionalisation of graphene is instrumental to engineer different electronic properties in graphene materials.
When chemical elements, e.g. oxygen, hydrogen or fluorine, are adsorbed on the surface of graphene, they form covalent bonds with the carbon atoms. As a result, the planar crystal structure of graphene characterised by sp 2 bonds between the carbon atoms is transformed into a three-dimensional structure with sp 3 bonds (see Figure 1b). The adsorbed elements can attach to graphene in a random way, as it is the case in graphene oxide [44–46], or they can form ordered patterns as it has been found for hydrogen [33–35] and fluorine [36–43] adsorbates. Ab initio calculations performed within the density functional theory formalism predict that functionalisation with hydrogen and fluorine should lead, respectively, to a band gap of 3.8 and 4.2 eV for full functionalisation [29–32].
Successful hydrogenation and fluorination of graphene have been recently achieved by several groups [33–43]. Hydrogenation is usually carried out in a remote plasma of H2[33–35] which makes it difficult to control the degree of induced atomic defects as well as the stoichiometry of the functionalisation. Furthermore, hydrogenated graphene can loose H at moderate temperatures , which limits the use of this material in applications where high-temperature stability is required. On the other hand, fluorine has higher binding energy to carbon and higher desorption energy than hydrogen [29–32]. Opposed to hydrogenation, the process of fluorination is easy to control, e.g. via temperature and reactant gases, leading to reproducibly precise C/F stoichiometries.
Here, we explore the electronic transport properties of functionalised graphene with a fluorine content ranging from 7% (i.e. CF0.07 or F/C atomic ratio of 0.07) to 100% (CF1). We have fabricated transistor structures with fluorinated graphene mono-layers and multi-layers and studied their electrical transport properties in the temperature range from 4.2 to 300 K. We show that the electronic transport properties of fluorinated graphene can be tuned by adjusting the fluorine content, so that different transport regimes can be accessed, like Mott variable range hopping (VRH) in two dimensions [47, 48], Efros-Shklovskii VRH  and nearest neighbour hopping (NNH) transport.
2 Experimental details
Fluorinated graphene mono-layers and multi-layers were mechanically exfoliated from fluorinated graphite and deposited onto conventional Si/SiO2 (275 nm) substrates. The fluorinated graphite was synthesised via two routes: graphite fluorides (using F2 gas) and fluorine graphite intercalation compounds (FGIC) (using XeF2 as fluorinating agent), see Section 6. The samples produced using F2 gas that we investigate here are multi-layers and have the concentration of fluorine of 28 and 100%, whereas the samples synthesised using XeF2 gas are all mono-layers and have the fluorine content of 7, 24 and 28%.
The typical optical contrast of fluorinated graphene is ~2-6%, which is systematically lower than what we observe on pristine graphene (~9%), see Figure 1c,d. The reduced contrast in fluorinated graphene has to be expected, since the opening of a large energygap in the energy dispersion of fluorinated graphene lowers the optical absorption transitions between conduction and valence bands.
3 Raman spectroscopy
Figure 2 shows the Raman spectra of a mechanically exfoliated pristine graphene flake, with the G and 2D (also known as G') bands at 1580 and 2700 cm-1. The G band is associated with the double degenerate E2g phonon mode at the Brillouin zone center, while the 2D mode originates from a second-order process, involving two intervalley phonons near the K point, without the presence of any kind of disorder or defect . In the fluorinated graphene, additional peaks are activated in the Raman spectra (see Figure 2), the D and D' peaks that appear at 1350 and 1620 cm-1. These Raman peaks originate from double-resonance processes at the K point in the presence of defects, involving, respectively, intervalley (D) and intravalley (D') phonons [51–54].
In exfoliated pristine graphene, the D peak can only be observed at the edges of the flakes where there is a large concentration of structural defects and its intensity is typically much lower than the intensity of the G peak [55, 56]. In our studies performed on pristine graphene flakes with similar size as the fluorinated graphene flakes, the intensity of the D peak is typically well below the sensitivity of our Raman setup, i.e. we are usually not able to detect any D peak because of the edges of the flakes. Therefore, the observed D peak in our fluorinated graphene samples must originate from other defects than simply the edges of the samples. As all our samples contain networks of sp 2 bonded carbon atom rings, we believe that the D peak is mainly activated by the F atoms which act as vacancies in these sp 2 rings.
A better understanding of the level of disorder in our samples is reached when analysing the intensity ratio ID/IG for the D and G bands. It has recently been shown that in graphene ID/IG has a non-monotonic dependence on the average distance between defects LD, increasing with increasing LD up to LD ~ 4 nm and decreasing for LD > 4 nm [53, 54, 57]. Such behavior has been explained by the existence of two disorder-induced regions contributing to the D peak: a structurally disordered region of a radius ~1 nm around the defect and a larger defect-activated region which extends to ~3 nm around the defect. In the defect-activated region, the lattice structure is preserved, but the proximity to a defect causes a mixing of Bloch states near the K and K' valleys. Consequently, the breaking of the selection rules leads to an enhancement of the D peak. Furthermore, it was shown that in the structurally disordered region, the G and D' peaks overlap.
The Raman spectra of fluorinated mono-layer samples produced from graphite with fluorine content of 7 and 28% (see Figure 2a) systematically show that the G and D' peaks have a significant overlap. On the other hand, the samples exfoliated from CF0.24 exhibit very distinct G and D' peaks. Based on the aforementioned phenomenological model [53, 54, 57], we can state that the CF0.07 and CF0.28 samples are in the regime where the intensity ratio ID/IG increases with increasing LD (i.e. decreasing the concentration of F) whereas the CF0.24 samples are in the opposite regime. This scenario is confirmed when comparing the intensity ratio ID/IG for fluorinated mono-layers extracted from graphite with different fluorine content: ID/IG = 1.74 for CF0:28 and ID/IG = 2.16 for CF0.07. From the LD dependence on ID/IG we estimate LD ~ 1.5 nm for CF0.28 and LD ~2 nm for CF0.07[53, 54, 57]. For the CF0.24 samples, we estimate LD ~ 5.3 nm for device 1 and LD ~ 6.1 nm for device 2. These values of LD are in agreement with the observed frequencies of the D, G, D' and 2D peaks as well as with the FWHM values of the 2D peaks .
In the case of the fluorinated multi-layer flakes, see Figure 2c,d, it is difficult to perform a similar analysis, as the intensity of the G band depends on the number of graphene layers present in the sample . For samples thicker than three to four layers, the structure of the 2D peak does not provide an accurate estimation for the number of layers because of the large number of fitting parameters.
4 Electrical transport measurements
Figure 4c shows the hopping parameter T 0 as a function of carrier concentration for these three samples. The value of T 0 approaches zero at a carrier concentration of ±1.2 1012 cm-2. This value gives the concentration of the localised electron states in the energy range from ε = 0 to the mobility edge, see Figure 4d. The mobility edge occurs at V g ± 20V and indicates the transition from hopping to metallic conduction.
In order to relate the obtained concentration of the localised states to the energy gap Δε, one needs to know the exact energy dependence of the density of states in the gap. For estimations, we will use the linear relation for the density of extended states above the mobility edge g(ε) = 2ε/πħ 2 v 2 (v = 106 m/s is the Fermi velocity), and a constant value for the density of localised states below the mobility edge, Figure 4d. This gives Δε = 60 meV and twice this value for the full mobility gap. In this approximation, the density of the localised states in the gap is ~1036 J/m2. Using the obtained value of the hopping parameter at the maximum of resistivity, we can then estimate the localisation length at ε = 0 as a = 40 nm for CF0.24 (device 1), a = 81 nm for CF0.24 (device 2) and a = 265 nm for CF0.07.
Figure 4e shows the analysis of the temperature dependence of the resistivity for fluorinated mono-layer graphene exfoliated from CF0.28 graphite. For this sample, characterised by the largest disorder LD ~1.5 nm, the experimental data cannot be described by thermally activated law nor Mott VRH. In this case, the ln(ρ) follows a T -1/2 dependence characteristic of the Efros-Shklovskii VRH in the presence of Coulomb interaction between the localised states (ρ(T) = ρ 0 exp(T 0/T)1/2) . T 0 is related to the localisation lengths through T 0 = 2.8e2 / 4 πε r ε 0 k B a and for our sample we estimate T 0 = 52 K. Assuming that ε r is the dielectric constant of SiO2 we obtain the localisation length a = 282 nm.
Resistance measurements of CF n flakes after annealing show a strong temperature dependence, Figure 5a. Analysis of the temperature dependence of the resistance in terms of the activation law at the highest gate voltage V g = 50 V (which is still far from the Dirac point) gives a gap of only 25 meV, which is significantly smaller than the expected energy gap for fully fluorinated graphene. Similarly to the fluorinated mono-layer graphene, the resistivity dependence on temperature is fitted well by VRH with the value of T 0 = 20000 K. This confirms that the previously found activation energy of 25 meV is not the activation energy Δε that separates the localised states from extended states at the mobility edge, but is an activation energy δε of hopping between localised states within the mobility gap, see Figure 4d.
Figure 5c,d shows the transport data for the multi-layer fluorinated graphene CF0.28 prepared by exposure to fluorine gas. The I-V characteristics of these samples are strongly non-linear (see Figure 5c) with resistances of more than 1 GΩ. In this case, the dependence of the resistivity on temperature cannot be described neither by 2D-VRH nor by Efros-Shklovskii VRH (see Figure 5d). The ln(ρ)(T) dependence is rather well described by a thermally activated law at elevated temperatures (regime A), with a Δε = 0.25 eV, followed by a temperature regime where the resistivity decreases with lowering the temperature (regime B). A 1/T dependence of ln(ρ) could be the consequence of either intrinsic transport through thermally excited carriers above the bandgap or conduction through NNH via localised states within the gap. Since the I-V characteristics of our devices show a non-linearity on a V sd range much larger than the estimated Δε = 0.25 eV (see Figure 5c), we conclude that transport occurs via NNH.
Finally, for the same degree of fluorination (i.e. CF0.28) the graphene multi-layers exhibit a stronger temperature dependence and a larger transport gap than what is observed in mono-layers. This difference could originate from the different fluorination processes used for the multi-layers (direct fluorination with F2 gas at high temperature to produce graphite fluorides) and for the monolayers (FGIC synthesised at lower temperatures), see Section 6. Indeed, different fluorination processes may lead to different concentrations of localised states. Even though in both materials, F-GIC and graphite fluorides, the nature of the bonding between fluorine and carbon atoms is covalent, the C-F bond order is slightly lower in F-GIC . The lower C-F bond order in F-GIC is due to the hyper-conjugation which occurs between the C-F and the C-C single bonds around the C-F bonds. In particular, the C-F and C-C single bond lengths are, respectively, longer and shorter in F-GIC than those in graphite fluorides. As a result, the electrons involved in the covalent C-F bonds in F-GIC are slightly delocalised by this hyperconjugation, which may result in a smaller transport gap.
In conclusion, we have demonstrated the possibility to tune the band structure and therefore the electronic transport properties of graphene through functionalisation with fluorine. In particular, depending on the fluorine concentration different transport regimes can be accessed. For mono-layer samples, we observe a transition from 2D Mott VRH to Efros-Shklovskii VRH with increasing the fluorine content. Multi-layer fluorinated graphene with high concentration of fluorine shows 2D Mott VRH, whereas CF0:28 multi-layer flakes exhibit NNH transport. Our experimental findings demonstrate that the ability to control the degree of functionalisation of graphene is instrumental to engineer different electronic properties in graphene materials. In all cases, fluorinated graphene transistors exhibit a large on/off ratio of the current, making this material of interest for future applications in transparent and bendable electronics.
6.1 Fluorination of graphite
To produce fluorinated graphite, we have used two distinct methods [59–62]. In the first method, graphite is heated in the presence of F2 to temperatures in excess of 300°C, so that covalent C-F bonds are formed and modify the carbon hybridisation . The layered structure of graphite is then transformed into a 3D arrangement of carbon atoms (Figure 1a,b). In this article, we present the studies on graphene exfoliated from fully fluorinated HOPG graphite CF n (obtained at 600°C) and CF0.28 synthesised with this method at 530°C. However, due to the harsh fluorination conditions, many structural defects are formed, which makes it very difficult to exfoliate large enough mono-layer flakes that can be identified by optical microscopy and easily processed into devices. To prepare larger fluorinated graphene samples, we have used a second fluorination method where graphite is exposed to a fluorinating agent, i.e. XeF2. In this case, the functionalisation process is carried out at T ≤ 120°C, as XeF2 easily decomposes on the graphite surface into atomic fluorine . The mixture of natural graphite and XeF2 was prepared in a glove box in an Ar atmosphere. Owing to its reactivity and diffusion, the fluorination results in a homogenous dispersion of fluorine atoms that become covalently bonded to carbon atoms [59, 62, 63]. At low fluorine content, the F/C atomic ratio is ≤ 0.4. In this case, the conjugated C-C double bonds in the non-fluorinated parts and covalent C-F bonds in corrugated fluorocarbon regions coexist [62, 64]. The concentration of the covalent bonds increases with increasing the concentration of fluorine. The samples produced using the XeF2 gas that we investigate here have the concentration of fluorine of 7, 24 and 28%.
6.2 Determination of fluorine concentration
The fluorine concentration (i.e. F:C molar ratio) of fluorinated graphite was determined by gravimetry (weight uptake). The concentration obtained by weight uptake was confirmed by solid-state NMR measurements on samples fabricated under identical conditions and the accuracy of gravimetry was estimated to be 0.02 [65–67]. The fluorine concentration measured by gravimetry can be under-estimated due to the decomposition of graphite under fluorine gas at high temperature, which results in the formation of carbene (CF2) and C2F4. However, the decomposition of graphite was found to start as a secondary reaction close to 600°C, with fluorination being the main reaction. Since the reactions with F2 and XeF2 have been carried at lower temperatures than the graphite decomposition temperature, the underestimation of F:C ratio in our fluorinated graphite samples is likely to be less than 0.02.
6.3 Raman spectroscopy characterisation
We have characterised all the exfoliated flakes by Raman spectroscopy using an excitation light with a wavelength of 532 nm and a spot size of 1.5 μ m in diameter. An incident power of 5 mW was used. We ensured that this power does not damage the graphene by performing Raman measurements on a similarly sized pristine graphene flake which shows the common spectra of mechanically exfoliated graphene: the G band and 2D band (also known as G') at 1580 and 2700 cm-1, see Figure 2.
6.4 Electrical characterisation
The resistance of the transistor devices was measured both in dc, by means of Keithley 2400 Source-meter, and in ac at low frequency (34 Hz) with a lock-in amplifier in a voltage-biased configuration. For the ac-measurements, the excitation current was varied to ensure that the resulting voltage was smaller than the temperature to prevent heating of the electrons and the occurrence of nonequilibrium effects. The comparison of 2- and 4-probe measurements shows that the contact resistance in our devices is negligible as compared to the sample resistance. This experimental finding insures that even 2-probe transport measurements are probing the electrical properties of the bulk fluorinated graphene rather then simply the Cr/graphene interface.
two-dimensional Mott variable range hopping
atomic force microscopy
fluorine graphite intercalation compounds
full width at half maximum
nuclear magnetic resonance
nearest neighbour hopping
variable range hopping.
We acknowledge T.H. Bointon for performing the AFM measurements on the multi-layer graphene. SR and MFC acknowledge the financial support from the EPSRC (Grant nos. EP/G036101/1 and EP/J000396/1). SR acknowledges the financial support from the Royal Society Research Grant 2010/R2 (Grant no. SH-05052).
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