Abstract
We have revealed the decisive role of grain-boundary-induced strain fields in electron scattering in polycrystalline graphene. To this end, we have formulated the model based on Boltzmann transport theory which properly takes into account the microscopic structure of grain boundaries (GB) as a repeated sequence of heptagon–pentagon pairs. We show that at naturally low GB charges the strain field scattering dominates and leads to physically reasonable and, what is important, experimentally observable values of the electrical resistivity. It ranges from 0.1 to 10 k\(\Omega\) \(\upmu m\) for different types of symmetric GBs with a size of 1 \(\upmu\)m and has a strong dependence on misorientation angle. For low-angle highly charged GBs, two scattering mechanisms may compete. The resistivity increases markedly with decreasing GB size and reaches values of 60 k\(\Omega\) \(\upmu\)m and more. It is also very sensitive to the presence of irregularities modeled by embedding of partial disclination dipoles. With significant distortion, we found an increase in resistance by more than an order of magnitude, which is directly related to the destruction of diffraction on the GB. Our findings may be of interest both in the interpretation of experimental data and in the design of electronic devices based on poly- and nanocrystalline graphene.
Similar content being viewed by others
Introduction
As is known, large-area films suitable for industrial application are usually polycrystalline consisting of a large number of randomly distributed single grains separated by grain boundaries (GBs). This holds for CVD grown graphene, which is considered as a promising material for nanoelectronics (for example when designing highly sensitive electro-biochemical devices1) and thermoelectrics2,3. However, the effect of GBs on electronic transport properties is not yet well understood. Summary of the experimentally observed values of GB-induced resistivity (\(\rho _{GB}\)) by using various measurement techniques is given in Fig. 2 of Ref.4. They varies over a wide range of values from 0.1 to 100 k\(\Omega\) \(\upmu\)m and depend on many additional factors such as distance from the charge neutrality point (adjustable by gate voltage), GB type, connectivity, width and some others. Neither experimental5,6,7,8,9,10 nor theoretical11,12,13,14 studies have so far provided clear evidence clarifying the mechanism of electron scattering on GBs in graphene.
Experimentally shown that GBs in graphene are n-doped due to localized electrons at pentagon–heptagon (5–7) pairs forming GB, while environment is p-doped. This should indicate that GBs act as electrical barriers to charge transport15,16 thus reducing conductivity. Theoretically, such mechanism of scattering across GBs has been studied in Refs.11,12,13,14. The problem is that high \(\rho _{GB}\) values (1 k\(\Omega\) \(\upmu\)m and more) are not achievable when calculating carrier scattering on a weakly charged GBs (for 5–7 rings it is equal to \(e^*\sim 0.02\)e according to17). Several papers discuss the impact of graphene wrinkles18, GB’s disorder19, roughness and zig-zagness of extended GBs20 which make it possible to approach and in some cases even significantly exceed (see, e.g., Ref.20) the expected range of values.
It should be noted, however, that one of the most natural mechanism of electron scattering due to GB-induced strain fields has not yet been considered. Grain boundaries in graphene are formed by linear chains of pentagon–heptagon pairs or, equivalently, of 5–7 disclination dipoles, which are a source of additional mechanical stresses. This provides a new scattering channel for charged carriers: the GB-induced deformation potential scattering. The deformation potential is defined through the trace of strain tensor. Some time ago we suggested a model which takes into account the finiteness of the GB21. The basis for that model was the analogy between disclination dipoles and finite walls of edge dislocations. More specifically, wedge disclination dipoles simulate finite dislocation walls. This allowed us to describe the features of electron and phonon scattering in polycrystalline materials due to long-range strain fields22. Recently, we presented a general scheme that allows us to calculate strain fields in graphene caused by GB of any size and shape as a sum of strains of 5–7 disclination dipoles23. This approach has been applied to the analysis of heat transport in polycrystalline graphene23 and allows us to consider any possible configurations of GBs including closed defects like the Stone-Walles24.
In this paper, we extend the model with explicitly included internal structure of GBs to the case of electronic scattering in graphene. It can be applied for analysis of both individual GBs of any finite length and polycrystalline samples with the network of GBs. We consider a combination of two main sources of electron scattering: (a) deformation potential scattering and (b) electrostatic scattering due to charged GBs. The resistivity on GBs with different misorientation angles is calculated as a function of electron concentration. Our approach allows us to take into consideration the case of non-straight GBs with structural irregularities through the inclusion of additional partial disclination dipoles (PDDs). Calculations of the electrical conductivity are performed within the Boltzmann approach at room temperature. The expressions for relaxation times are derived in the first Born approximation. In this work, we restrict ourselves to consideration of symmetric twin boundaries.
Model
Let us consider a GB of finite length in graphene as a periodic array of pentagon–heptagon pairs lined up along a line (see Fig. 1).
As is known, such array is a source of local stresses near the GB25. Additionally, in the absence of a charged impurity, there is a small charge located on 5–7 pairs17. Therefore it is necessary to consider both possible mechanisms for the scattering of charged carriers: (a) strain fields caused by this defect which cannot be excluded, especially in the case of a low linear charge concentration at the GB and (b) electrostatic potential of the charged GB.
It is well known that the effect of strain field can be described within the deformation potential theory26. In our approach, the total strain field caused by the GB at any point of graphene sheet is determined through a sum of strain fields from all 5–7 pairs23. In this way, for a GB oriented in the x-direction, the deformation potential \(V_{\epsilon }(r)\) takes the form
where \(TrE_{ij}(r)\) is the trace of the strain tensor, G is the deformation potential constant, \(\Omega\) is the modulus of the Frank vector which, for the chosen geometry, is directed along the z axis, p is the number of 5–7 pairs in the GB, \(\zeta\) is the is Poisson’s ratio, (\(x_{ni}, y_{ni}\)) are coordinates of i-th disclination in n-th dipole. In Eq. (1), the last term describes the dilatation for partial disclination dipole (PDD) with a power of \(\omega\) located at points \((x^{'}_{m1(2)},y^{'}_{m1(2)})\) built in a GB. These additional dipoles can appear inside GBs because of the step-like variations in the misorientations along GB lines27 or, in other words, disclinations forming the dipole are points separating GB fragments with different tilt misorientation angles. If the dipoles are located along the x-axis, the coordinates \(x_{ni}\) should satisfy the condition \(|x_{n2} - x_{n1}|=L\), where L is the length of the dipole arm in graphene.
When determining the explicit form of the electrostatic potential \(V_{Q}\) we consider that each charged 5–7 dipole is surrounded by a cloud of charges of opposite sign. In this approximation, 5–7 dipoles are localized point-like objects with a distance \(\tilde{h}\) between them. The cloud radius R lies in the region \(L/2<R<R_{max}\) with \(R_{max}=\tilde{h}/2\), that is a situation when neighbouring circles are touching each other. The Poisson equation takes the following form:
where \(r=(x,y)\), \(N_{D}\) and \(N_{A}\) are concentrations of donors and acceptors, respectively, \(\theta (x)\) is the Heaviside unit step function; \(x_{l}=x_{0}+l\tilde{h}\) is the coordinate of l-th dipole along the x - axis, \(e^{*}\) is the effective charge localized at 5–7 pair, and \(\epsilon _{0} (\epsilon )\) is vacuum (relative) permittivity. Performing calculations by using the Fourier-transform method we can find an expression for the effective two-dimensional electrostatic potential \(V_{Q}(r)\)
where \(r_{l}=\sqrt{(x-l\tilde{h})^2+y^2}\) and \(G_{pq}^{mn}\) is the Meijer function28.
Using two normalized chiral eigenstates \(|\mathbf{k}>=\frac{1}{\sqrt{2}} \genfrac(){0.0pt}1{e^{-i\theta _{k}/2}}{e^{i\theta _{k}/2}}e^{i\mathbf {k}\mathbf {r}}\)29,30, the scattering matrix for perturbation energy \(V_{\epsilon }\) is found to be
where \(\mathbf{q}=\mathbf{k}^{'}-\mathbf{k}\) and \(\theta _{k^{'}k}=\theta _k^{'}-\theta _{k}\). By analogy, for the electrostatic energy given by Eq. (3) we get
where \(J_{1}(z)\) is the Bessel function of the first kind.
In the framework of the Boltzmann approach, the conductivity in graphene is written as31,32
with
Here \(f^{(0)}_{\pm }(E)=1/[e^{(E \mp \mu )}+1]\) is the equilibrium Fermi-Dirac distribution function of electrons and holes with linear energy dependence \(E=\hbar v_{F}|k|\), \(v_{F}\) is the Fermi velocity, \(n^{\pm }\) are the electron and hole concentrations, \(\mu\) is the chemical potential measured relative to the half-filled \(\pi\) band, \(\tau _{\pm } (E)\) is the relaxation time for electrons and holes, and the factor 4 accounts for spin and valley degeneracies. We consider the case when \(n^{+}\approx N_{D}\) and \(n^{-}\approx N_{A}\).
In the first Born approximation, the relaxation times for the scattering mechanisms of interest to us are written as
where \(n_{def}\) is the two-dimensional concentration of GBs, which can be easily determined for one-periodic structures if the distance h between the dipoles is known (see Fig. 1a,c). Indeed, the parameter h defines the GB size D through the relation \(D=pL+(p-1)h\) with p being the number of dipoles in the wall. The distance h is directly related to the misorientation angle \(\theta\), characterizing the type of GB (see, e.g., Ref.25): the greater the h the smaller the misorientation angle. For most of the GBs we examined \(D=1\) \(\upmu\)m and \(L=0.246\) nm, while h changes. For example, for \(\theta =9.4^{\circ }\) one has \(h=1.27\) nm and \(p=660\), for \(\theta =21.8^{\circ }\) one has \(h=0.42\) nm and \(p=1500\) and the like. Two considered GBs are different: at \(\theta =16.4^{\circ }\) (see Fig. 1b) two periods \(h_1=0.42\) nm and \(h_2=0.846\) nm occur (p=1140), while at \(\theta =38.2^{\circ }\) (see Fig. 1c) the dipole arm increases to \(L=0.42\) nm with \(h=1.01\) nm (\(p=695\)). The concentration of GBs can be roughly estimated by means of the relation \(n_{def}=1/D^2\), so that \(n_{def}=10^8\) cm\(^{-2}\). The chosen value of D allows us to compare our results with the existing experimental data in graphene with mesoscopic grain sizes (as, for example, in Ref.10). Notice, that it is also possible to prepare samples with poorly-connected GBs and for them \(n_{def}\) will not be directly related to D. In the present work, we only focus on a case of fully-connected GB network. The relaxation time used in Eq. (6) is the combination of \(\tau _{\epsilon }\) and \(\tau _{Q}\) through the Matthiessen’s rule26
Finally, the total resistivity \(\rho _{GB}\) (defined as \(\sigma ^{-1}\)) including the contribution from the two scattering mechanisms is calculated by means of Eq. (6).
Results
We performed calculations of \(\rho _{GB}\) at room temperature in a wide range of electron (hole) concentrations for GBs with different misorientation angles, both straight and non-straight (having additional disclinations). The results of our calculations are shown in Figs. 2, 3 and 4. Let’s start with the consideration of straight configurations.
Straight GBs
First of all, let’s make a few general conclusions. We found that the deformation potential scattering is the dominant scattering channel for all GB types provided that the total effective charge \(e^{*}\) located at 5–7 pair is small. Indeed, its estimated value varies between 0.02 and 0.03 in units of electron charge e17. Our numerical results show that for \(e^{*}=0.02e\) the ratio \(\rho _{\epsilon }/\rho _{Q}\) takes values in the range from 5\(\times 10^{2}\) to 5\(\times 10^{3}\) depending on \(\theta\). The highest values of \(\rho _{\epsilon }/\rho _{Q}\) were found for denser GBs (with \(\theta\) values around 32.2\(^{\circ }\)). We found also that \(\rho _{Q}\) is slightly sensitive to the value of the screening parameter R.
Figure 2 shows the resistivity of straight twin GBs (\(\omega =0\)) as a function of \(\delta n\) (\(\delta n=n^{+}-n^{-}\)) for different misorientation angles.
As can be seen, \(\rho _{GB}\) is growing with the misoriention angle up to \(\theta \approx 32^{\circ }\) and takes the values from 1 to 7 k\(\Omega\) \(\upmu\)m at \(\delta n\approx 10^{11}\)cm\(^{-2}\) . It should be noted, however, that limitations of the applicability of the Born approximation do not allow us to accurately determine the value of the resistivity at low carrier concentrations (near the charge neutrality point \(\delta n=0\)). And yet, the behavior of the calculated curves gives grounds to assert that \(\rho _{GB}\) reaches values from 0.2 to 1.0 k\(\Omega\) \(\upmu\)m, depending on the type of GBs. Notice that these values are consistent with those estimated for twin GBs in Ref.33. The values of \(\rho _{GB}\) obtained away from the electrical neutrality point are in good agreement with the experimental data of Ref.10 if we use the relation between \(\delta n\) and gate voltage \(V_g\) in the form: \(\delta n=\varepsilon ^{\prime } V_g/(4\pi |e|d)\) with \(\varepsilon ^{\prime }\) being the dielectric constant of SiO\(_2\) substrate and d a distance from the back gate to the graphene sheet. It is important to note that \(\rho _{GB}\) is sensitive to two model parameters G and \(\zeta\) through the factor \(G^2(1-\zeta )^2\), whose values are not well defined. According to available estimates, G can take values in the range from 7 to 19 eV, while \(\zeta\) varies within 0.16 - 0.42. Respectively, the values of \(\rho _{GB}\) can be both higher and lower than ours calculated at G=13 eV and \(\zeta\)=0.2. This remark is valid for all types of grain boundaries shown in Fig. 2.
The biggest values of \(\rho _{GB}\) as well as of \(\rho _{\epsilon }/\rho _{Q}\) relation have been found for GBs with angles from 26.01\(^{\circ }\) to 32.2\(^{\circ }\) where linear concentrations of 5–7 dipoles are maximal. A decrease in the concentration of 5–7 dipoles also explains the decrease of \(\rho _{GB}\) at \(\delta n\approx 10^{11}-3\times 10^{12}\)cm\(^{-2}\) for \(\theta\) above 32\(^{\circ }\) (see the insert in Fig. 2). Our calculations show that the smaller the GB wall size, the greater the resistance value due to an increase in the concentration of GBs. For example, for 21.8\(^{\circ }\) GB with a size of \(D=10\) nm we obtain \(\rho _{GB}\sim 70\) k\(\Omega\) \(\upmu\)m at \(\delta n=10^{11}\)cm\(^{-2}\) in agreement with measurements in Ref.34 (see also Fig. 2 in Ref.4). Notice that this value is more than an order of magnitude greater than that of the same GB with D=1 \(\upmu\)m.
Let us briefly discuss under what conditions the importance of the electrostatic potential will increase. Obviously, this will require a significant increase in effective charge of 5–7 pairs, what can happen during doping of graphene by electron-donor and -acceptor molecules. In particular, it was shown that a single B or N impurity atoms prefer to incorporate into the grain boundary region and produce a p-type (n-type) doping in all investigated GB structures35. Enhanced chemical reactivity of GBs allows one to consider polycrystalline graphene as a promising material for creating chemiresistors36, chemical 37 and biochemical1 sensors and other applications. Figure 3 shows \(\rho _{GB}\) as a function of \(\delta n\) in the case when e\(^{*}\) equals to 0.3e (green line) and 0.8e (red line).
For comparison, the contribution to \(\rho _{GB}\) caused by the deformation potential scattering is given as well (blue line). We see that the scattering by electrostatic potential becomes comparable to the deformation-potential one when e\(^{*}\) reaches the value of about 0.8e and starts to dominate at higher values. Thus, increasing effective charge on the wall leads to the higher resistivity values. This should be taken into account when analyzing experiments with charged GBs. Notice that the very possibility of competition between the two scattering mechanisms seems interesting to us. As can be seen from our calculations, this effect will be most pronounced at low-angle GBs.
Non-straight GBs
Let’s take into account feasible irregularities in the spatial arrangement of 5–7 dipoles. Indeed, most of experimentally observed GBs in graphene sheets are curved and show no strict periodicity38. This is especially true for walls with sizes of about a micron, which, as a rule, arise during synthesis by CVD method. A possible way to describe structural irregularities of real GBs in graphene is to embed partial disclination dipoles with strengths in the range of \(-60^{\circ }<\omega <60^{\circ }\)27. Earlier, in the study of heat transport in graphene (see Ref.23), we have shown the possibility, within the framework of our approach, of taking into account any number of PDDs (including those with different \(\omega\)) inside the GB wall. Which is important in calculations, one can consider many built-in PDDs as one with a total arm length.
Figure 4 shows the resistivity \(\rho _{GB}\) as a function of \(\delta n\) for 13.2\(^{\circ }\) GBs containing a PDD with the arms equal to \(|x^{'}_{m2} - x^{'}_{j1}|=d=0.1\) \(\upmu\)m (blue line) and \(d=0.8\) \(\upmu\)m (black line) (\(\omega =45^{\circ }\)).
As seen, for short PDDs there is a slight increase in resistivity (up to \(\rho \approx 5.0\) k\(\Omega\) \(\upmu\)m near the charge neutrality point). With increasing size and/or number of regions with structural irregularities, the resistivity noticeably increases. In this case, the high values of \(\rho _{GB}\) (2 k\(\Omega\) \(\upmu\)m and above) measured in some highly resistive samples (see, e.g., Refs.7,10) can be explained by deformation potential scattering only. We found that the more distorted the grain boundary, the less pronounced the dependence on the misorientation angle. This can also be seen from the long wavelength limit of the electronic mean free paths ratio \(l_{GB+PDD}/l_{GB}\sim (1+\omega d/\Omega pL)^{-2}\). Here the dependence on h disappears and, at fixed \(\omega\), the effect is determined by the ratio of the total length of PDD arms d and the effective length of 5–7 dipoles in the wall pL. Recall that h is directly related to \(\theta\).
It is important to note that our analysis of the relaxation time behavior depending on the electron wavelength \(\lambda\) allowed us to draw an important conclusion about the specifics of electron scattering at grain boundaries in graphene. It turned out that this scattering behaves like in wave optics thus clearly manifesting the wave properties of electronic excitations in graphene. First of all, at fixed length D we found a strict proportionality of \(\rho _{GB}\) to \(p^2\) that is typical for Fraunhofer diffraction by amplitude gratings. At long wavelengths, the electron ’sees’ a GB as a solid wall with size D. However, at smaller wavelengths, when \(\lambda\) is compared to D and further reduced, the GB becomes much more transparent due to its grating structure. As a result, the resistivity drops noticeably compared to what it would be for scattering on solid walls. Obviously, the larger D, the more pronounced the effect of reducing resistivity. This is exactly what happens when an additional PDD is embedded because it acts like a solid wall of size d ’covering’ the slots of the grate. Here the situation is reversed: the larger d relative to D, the more significant the increase in resistivity (see also Fig. 4). It is interesting to note that if h (misorientation angle) is fixed and D is varied, we obtain a rather weak dependence of \(\rho _{GB}\) on D provided that D exceeds \(\lambda\). This agrees, for example, with the measurements on well-stitched high-quality monolayer graphene films with grain size varying from 200 nm to 1 \(\upmu\)m in Ref.39. They studied asymmetric walls (with transport gap), which does not allow us to make a direct comparison of the results, but we plan to do this in the near future. Notice that within our approach the transport gap can be taken into account in a natural way by introducing a finite lower integration limit in Eq. (6).
Conclusion
In conclusion, in the framework of the proposed model based on Eqs.(1)-(3) we have demonstrated the possibility to reproduce the experimentally observed resistivities in polycrystalline graphene samples lying between 0.1 and 100 k\(\Omega\) \(\upmu\)m for realistic parameters. Our study shows that the GB-induced deformation potential scattering gives the main contribution to the resistivity. Other important conclusions are as follows:
-
(i)
in the case of straight GBs we found a strong correlation between resistivity and misorientation angle. The resistivity scales with GB length and can reach values of several tens of k\(\Omega\) \(\upmu\)m in nanocrystalline samples.
-
(ii)
in the presence of a noticeable charge on straight small angle GBs, an additional scattering channel becomes significant due to electrostatic potential. For GBs of mesoscopic size, the occurrence of competition between two scattering mechanisms is established.
-
(iii)
at mesoscopic length, the GBs are usually not straight and contain structural irregularities. In this case, the deformation potential scattering increases noticeably due to additional strains caused by built-in partial disclination dipoles. This can lead to a marked increase in resistivity up to values of the order of 10 k\(\Omega\) \(\upmu\)m and more in agreement with experiments with highly resistive polycrystalline samples. Similar increase in resistivity in case of non-straight GBs was also reported in a recent paper20.
Our work is rather aimed at studying the mechanisms of scattering at individual grain boundaries. It is for this reason that we avoid direct comparison with experiments, with the exception of those where the resistance was measured on an individual GB wall, as, for example, in Ref.10. In order to describe experiments with real polycrystals, it is necessary to take into account the complex grain morphology that leads to inhomogeneity of their electronic properties. Therefore, in addition to studies of individual GBs, it is also necessary to study GBs on a large scale to extract reliable averages. A possible phenomenological approach to such a description is presented in Ref.1. As a final remark, our approach is quite universal and can be used to describe both electron and thermal resistivity in any polycrystalline 2D materials with GBs built from a sequence of 5–7 dipoles. Such a consideration is of obvious interest in the development of modern 2D materials with fundamentally new characteristics and the design of various electronic and thermionic devices since, as noted above, large-area films are usually polycrystalline.
Data availability
The datasets used for analysis during the current study available from the corresponding author on reasonable request.
References
Cummings, A. W. et al. Charge transport in polycrystalline graphene: Challenges and opportunities. Adv. Mater. 26, 5079 (2014).
Lehmann, T., Ryndyk, D. A. & Cuniberti, G. Enhanced thermoelectric figure of merit in polycrystalline carbon nanostructures. Phys. Rev. B 92, 035418 (2015).
Sandonas, L. M., Guttierres, R., Pecchia, A., Dianat, A. & Cuniberti, G. Thermoelectric properties of functionalized graphene grain boundaries. J. Self Assem. Mol. Electron. 3, 1 (2015).
Isacsson, A. et al. Scaling properties of polycrystalline graphene: A review. 2D Materials 4, 012002 (2017).
Huang, P. Y. et al. Grains and grain boundaries in single-layer graphene atomic patchwork quilts. Nature 469, 389 (2011).
Yu, Q. Nature control and characterization of individual grains and grain boundaries in graphene grown by chemical vapour deposition. Nat. Mater. 10, 443 (2011).
Jauregui, L. A., Cao, H., Wu, W., Yu, Q. & Chen, Y. P. Electronic properties of grains and grain boundaries in graphene grown by chemical vapor deposition. Sol. State Commun. 151, 1100 (2011).
Fei, Z. et al. Electronic and plasmonic phenomena at graphene grain boundaries. Nat. Nanotechnol. 8, 821 (2013).
Ogawa, Y. et al. Structure and transport properties of the interface between CVD-grown graphene domains. Nanoscale 6, 7288 (2014).
Tsen, A. W. et al. Tailoring electrical transport across grain boundaries in polycrystalline graphene. Science 336, 1143 (2012).
Yazyev, O. V. & Louie, S. G. Topological defects in graphene: Dislocations and grain boundaries. Phys. Rev. B 81, 195420 (2010).
Ferreira, A. et al. Transport properties of graphene with one dimensional charge defects. EPL 94, 28003 (2011).
Barrios-Vargas, J. E. et al. Electrical and thermal transport in coplanar polycrystalline graphene-hBN heterostructures. Nano Lett. 17(3), 1660 (2017).
Peres, N. M. R., Guinea, F. & Castro Neto, A. H. Electronic properties of two-dimensional carbon. Ann. Phys. 321, 1559 (2006).
Tapaszto, L. et al. Mapping the electronic properties of individual graphene grain boundaries. Appl. Phys. Lett. 100, 053114–1 (2012).
Koepke, J. C. et al. Atomic-scale evidence for potential barriers and strong carrier scattering at graphene grain boundaries: A scanning tunneling microscopy study. ACS Nano 7, 75 (2013).
Tamura, R. & Tsukada, M. Disclinations of monolayer graphite and their electronic states. Phys. Rev. B 49, 7697 (1994).
Clark, K. W. et al. Spatially resolved mapping of electrical conductivity across individual domain (grain) boundaries in graphene. ACS Nano 7, 7956 (2013).
Vancso, P. et al. Electronic transport through ordered and disordered graphene grain boundaries. Carbon 64, 101 (2013).
Majee, A. & Aksamija, Z. Electronic transport across extended grain boundaries in graphene. Nano Express 2, 030007 (2021).
Osipov, V. A. & Krasavin, S. E. Towards the grain boundary phonon scattering problem: Evidence for a low-temperature crossover. J. Phys. C Solid State Phys. 10, L639 (1998).
Krasavin, S. E. & Osipov, V. A. The effect of long-range strain fields on transport properties of disclinated materials. J. Phys. Cond. Matter 13, 1023 (2001).
Krasavin, S. E. & Osipov, V. A. Impact of grain boundary characteristics on thermal transport in polycrystalline graphene: Analytical results. J. Appl. Phys. 125, 084301 (2019).
Krasavin, S. E. & Osipov, V. A. Effect of Stone-Wales defects on the thermal conductivity of graphene. J. Phys. Cond. Matter 27, 425302 (2015).
Romanov, A. E. et al. Non-equilibrium grain boundaries with excess energy in graphene. Carbon 81, 223 (2014).
Ziman, J. M. Electrons and Phonons (Clarendon Press, Oxford, 1960).
Ovid’ko, I. A. & Sheinerman, A. G. Cracks at disclinated grain boundaries in graphene. J. Phys. D Appl. Phys. 46, 1 (2013).
Bateman, H. & Erdelyi, A. Higher Transcendental Functions (Mc Graw Hill Book, 1953).
Ando, T. Screening effect and impurity scattering in monolayer graphene. J. Phys. Soc. Jpn. 75, 074716 (2006).
Peres, N. M. R. Colloquium: The transport properties of graphene: An introduction. Rev. Mod. Phys. 82, 2673 (2010).
Novikov, D. S. Numbers of donors and acceptors from transport measurements in graphene. Appl. Phys. Lett. 91, 102102 (2007).
Vasko, F. T. & Ryzhii, V. Voltage and temperature dependencies of conductivity in gated graphene. Phys. Rev. B 76, 233404 (2007).
Majee, A. K., Foss, C. J. & Aksamija, Z. Impact of mismatch angle on electronic transport across grain boundaries and interfaces in 2D materials. Sci. Rep. 7, 16597 (2017).
Kochat, V. et al. Magnitude and origin of electrical noise at individual grain boundaries in graphene. Nano Lett. 16, 562 (2016).
Brito, W. H., Kagimura, R. & Miwa, R. H. B and N doping in graphene ruled by grain boundary defect. Phys. Rev. B 85, 035404 (2012).
Salehi-Khojin, A. et al. Polycrystalline graphene ribbons as chemiresistors. Adv. Mater. 24, 53–57 (2012).
Yasaei, P. et al. Chemical sensing with switchable transport channels in graphene grain boundaries. Nat. Commun. 5, 4911 (2014).
Ovid’ko, I. A. Review on grain boundaries in graphene curved poly- and nanocrystalline graphene structures as new carbon allotropes. Rev. Adv. Mater. Sci. 30, 201–204 (2012).
Ma, T. et al. Tailoring the thermal and electrical transport properties of graphene films by grain size engineering. Nat. Commun. 8, 141486 (2017).
Author information
Authors and Affiliations
Contributions
S.E. and V.A. contributed equally in this work. Both authors S.E. and V.A. reviewed the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Krasavin, S.E., Osipov, V.A. Electrical resistivity of polycrystalline graphene: effect of grain-boundary-induced strain fields. Sci Rep 12, 14553 (2022). https://doi.org/10.1038/s41598-022-18604-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-022-18604-y
This article is cited by
-
Mapping nanoscale carrier confinement in polycrystalline graphene by terahertz spectroscopy
Scientific Reports (2024)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.