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A flexible control on electromagnetic behaviors of graphene oligomer by tuning chemical potential


In this work, we demonstrate that the electromagnetic properties of graphene oligomer can be drastically modified by locally modifications of the chemical potentials. The chemical potential variations of different positions in graphene oligomer have different impacts on both extinction spectra and electromagnetic fields. The flexible tailoring of the localizations of the electromagnetic fields can be achieved by precisely adjusting the chemical potentials of the graphene nanodisks at corresponding positions. The proposed nanostructures in this work lead to the practical applications of graphene-based plasmonic devices such as nanosensing, light trapping and photodetection.


Recently, an increasing number of subwavelength components and structures have been designed and manufactured based on metamaterials (MMs) which get spotlight by the versatility of controlling the electromagnetic (EM) behaviors [1]. MMs support unique phenomena which cannot exist in nature including negative refractive index [2], extraordinary optical transmission [3], and electromagnetically induced transparency [4]. Due to unique properties of MMs, the nanodevices composed of MMs have more prominent advantages that the nanodevices possess pronounced and flexible ability to regulate and control EM behaviors, which leads the development of nanodevices toward high quality and integrability. Plasmonic MMs is one kind of metamaterials that exploits surface plasmons (SPs) to achieve novel optoelectric properties [5, 6]. SPs are the oscillations of free electrons in metal, originating from the interaction of light with metal-dielectric materials. Under certain circumstances, the interaction of incident light with the surface plasmons is able to produce self-sustaining, propagating electromagnetic waves known as surface plasmon polaritons (SPPs) which propagate along the metal-dielectric interface [7]. The SPPs are much shorter than incident light in wavelength, which is suitable for nanostructures with subwavelength footprint [8]. Light hitting the plasmonic MMs is transformed into SPPs, leading to the appearance of strong field localization in these structures at the resonance frequencies. The EM properties of plasmonic structures are primarily controlled by their geometry, making it possible to optimize the electric and magnetic behaviors over a broad range [9,10,11,12]. In practice, electron-beam lithography and focused-ion beam milling are two common methods to fabricate plasmonic structures on planar substrates. The excellent EM behaviors stem from the unique features of plasmonic structures with characteristics smaller than the wavelength of light separated by subwavelength distances, revealing a striking way to design applications in nanoscale such as sensing [13], surface-enhanced spectroscopies [14], and nonlinear optics [15]. Most common plasmonic MMs are composed of gold and silver which exhibit negative real permittivity [16]. However, noble metals have relatively large ohmic loss and low flexibility that once the structure is fixed, the EM behaviors cannot be optimized further, which restricts the development of nanodevices based on plasmonic structures [17, 18].

Graphene is one two-dimensional material made up of sp2 hybridization of carbon atoms in the honeycomb lattice structure. Due to the surpassing behaviors in electronics as well as photonics of graphene, various research groups investigate graphene with different methods to create plasmonic structures that exhibit lower losses, higher confinement and tunability of the EM fields [19,20,21,22,23]. Graphene is able to accommodate SPPs in large range from terahertz to mid-infrared frequencies [24,25,26]. Graphene has great potential for improving light-matter interactions in a two-dimensional regime because of SPs with strong light confinement [27]. Graphene oligomers constitute plasmonic molecules (PMs) via interactions between components, where the EM fields with strong field enhancements follow symmetries analogous to the coupling of atoms in chemical molecules [28]. By changing the chemical potential of graphene, the graphene PMs can reach high quality and flexibility [29]. However, there are more adjustable structure parameters such as chemical potential of graphene in different positions for graphene nanostructures to control the EM behaviors. Most of reported graphene nanostructures concentrate on changing chemical potential of the whole structure, which is short of elucidation of the relationship between chemical potential of graphene in different position and the EM behaviors of graphene nanostructure. The proposed graphene nanostructures may stimulate more surpassing EM properties and will affect a wide range of plasmonic applications.

To verify the effect mechanisms of PMs based on graphene, a numerical study on the graphene oligomer consisting of 13 equal-sized graphene nanodisks has been systemically conducted by intentionally varying chemical potential of partial graphene in this work. The graphene oligomer with D12h symmetry is able to sustain two plasmonic modes in calculated range. Further utilization of graphene oligomer relies on the precise control of local chemical potential of graphene. By selectively varying chemical potentials of graphene oligomer, the two innate plasmonic modes are profoundly modulated. Tuning the chemical potential of prominent graphene nanodisks in two plasmonic modes respectively has different influence on two plasmonic modes. The change of chemical potential of intersection part between the two plasmonic modes intensifies both two plasmonic resonances and leads to degeneration of plasmonic modes. In addition, the change of chemical potential of central graphene nanodisk also significantly affects the EM properties of graphene oligomer. The simulated results show that the graphene oligomer possesses high tunability and flexibility, and provides new degrees of freedom for designing plasmonic nanodevices capable of tailoring two-dimensional light confinement.

Simulated methods and models

In our model, the graphene is treated as one thin film with one atom layer thickness ∆ and modeled by a complex permittivity ε [22].

$$ \upvarepsilon =1+\frac{i{\sigma}_g{\eta}_0}{k_0\Delta}, $$

where ∆ = 0.334 nm, σg is the complex surface conductivity of graphene, ŋ0=377 Ω stands for the impendence of the free space, and k0 = 2π/λ is the wave number of the light in air. The complex surface conductivity σg of graphene monolayer is modeled by Kubo’s formulation, which consists of contributions from both intraband electron-photon scattering σintra and interband electron-electron transition σinter [30],

$$ {\sigma}_g={\sigma}_{intra}+{\sigma}_{inter}, $$


$$ {\sigma}_{intra}=\frac{2{e}^2{k}_BT}{\pi {\mathrm{\hslash}}^2}\cdot \frac{i}{\omega +i{\tau}^{-1}}\left[\ln \left(2\cosh \left(\frac{\mu_c}{k_BT}\right)\right)\right], $$
$$ {\sigma}_{inter}=\frac{e^2}{4\mathrm{\hslash}}\left[\frac{\sinh \left(\frac{\mathrm{\hslash \upomega }}{2{k}_BT}\right)}{\cosh \left(\frac{\mu_c}{k_BT}\right)+\cosh \left(\frac{\mathrm{\hslash \upomega }}{2{k}_BT}\right)}-\frac{i}{2\pi}\ln \frac{{\left(\mathrm{\hslash}\omega +2{\mu}_c\right)}^2}{{\left(\mathrm{\hslash}\omega -2{\mu}_c\right)}^2+{\left(2{k}_BT\right)}^2}\right]. $$

In these equations, e is the charge of an electron,  is the reduced Planck constant, kB is the Boltzmann constant, T is the temperature set as 300 K, τ is the momentum relaxation time set as 0.5 ps, ω is the radian frequency, and μc is the chemical potential of graphene.

We incorporate graphene nanodisk arrays into a graphene oligomer with D12h symmetry (Fig. 1a) to investigate the EM behaviors. The graphene oligomer consists of 13 graphene nanodisks of equal size, where one nanodisk is placed in the center and the others surround it with dodecagon symmetry. The radius of the addendum concentric circle R0 is 240 nm and the radius of individual nanodisks R1 is 50 nm. The graphene oligomer composed of large number of graphene nanodisks has advantage in flexible selections to change chemical potentials. As shown in Fig. 1b, the graphene oligomer is surrounded with air described by a refractive index n1 = 1 and adheres to a silica substrate with a refractive index n2 = 1.5. The incident light is vertical to graphene oligomer and the polarization is along y axis. Theoretically, the effective refractive index of graphene is described by

$$ {n}_{eff}=\frac{2i{\varepsilon}_{\mathrm{e} ff}{\varepsilon}_0c}{\sigma_g}. $$

where εeff is the effective permittivity of the environment media, ε0 is the vacuum permittivity and c is the speed of light in vacuum. According to the equations (2, 3, 4, and 5), it is seen that neff is a function of μc and the relationship is plotted in Fig. 1c and d, meaning that the resonance of our proposed structure can be expediently modified via manipulating the chemical potential of graphene. It should be pointed out that |Im(neff)|/|Re(neff)| is significantly small. So the real part of neff mainly effect the calculate results and the imaginary part of neff has little effect on our model with chemical potential changing. We therefore neglect the effect of imaginary part of neff in this study.

Fig. 1

a The schematic diagram of the graphene oligomer with symmetry D12h consisting of 13 identical graphene disks. b The simulation model of graphene oligomer. The graphene oligomer is placed on the silica substrate with n2 = 1.5 and is surrounded by air with n1 = 1. c, d The real part and imaginary part of neff with the chemical potential of graphene ranging from 0.4 to 0.8 eV

The electric fields and extinction spectra of graphene oligomer are calculated in the commercial finite element method (FEM) software, COMSOL Multi-Physics, RF Module. The extinction cross-section σext is obtained as σext = σsc + σabs, where σsc corresponds to the scattering cross-section

$$ {\sigma}_{sc}=\frac{1}{I_0}\int \int \left(\overrightarrow{n}\cdot \overrightarrow{S_{sc}}\right) dS, $$

and the absorption cross-section σabs, is determined by

$$ {\sigma}_{abs}=\frac{1}{I_0}\int \int \int \kern0.5em QdV. $$

In these equations, I0 is the incident intensity. \( \overrightarrow{n} \)stands for the normal vector pointing outwards from the plasmonic nanocluster, \( \overrightarrow{S_{SC}} \)indicates the Poynting vector for the scattered field. The integral in Equation (6) is taken over the closed surface of the scatter. Q is the power loss density in the oligomer. The integral in equation (7) is taken over its volume. The extinction spectra are calculated in the selected wavelength range of mid-infrared. The Perfectly Matched Layer (PML) is applied around the proposed nanostructure to avoid the reflected light fields. The thickness of the graphene is meshed at least five layers to guarantee simulation accuracy.

Simulation results and discussions

The effect of local chemical potential change of graphene nanodisks in plasmonic modes

For the proposed structure, the extinction spectra (Fig. 2) exhibit two prominent resonances associated with the excitation of plasmons in the graphene oligomer. The graphene oligomer is able to sustain two plasmonic modes, which are both sensitive to the graphene chemical potential μc. By varying μc of the whole graphene oligomer from 0.4 eV to 0.6 eV, both two plasmonic resonances become intense, and the positions move to higher frequency range simultaneously. The distinct enhancement of absorption in graphene oligomer is ascribed to the promotion of carrier density with increasing μc, which creates an optical gap where plasmons avoid being quenched through coupling to electron−hole pairs (Landau damping). The increase of virtual electron-hole pair transitions allowed gives rise to the significant interaction of coherently coupled graphene nanodisks which intensifies extinction maximum [21]. We choose the extinction spectrum with μc = 0.5eV as the benchmark and the two peaks labeled by A0 and B0 represent two different plasmonic modes and the corresponding electric fields are presented in Fig. 2b. Strong concentrated electric fields appear as the nanoscale electromagnetic hot spot and lead to extinction enhancement. For peak A0, the hot spots mainly concentrate on the eight nanodisks on the top and bottom, and especially focus on the four nanodisks on the highest and lowest positions in the nanostructure. For peak B0, the hot spots mainly concentrate on the eight nanodisks on the left side and right side, and the brightest four nanodisks are on the most left and right positions in the nanostructure, which is perpendicular to the mode of peak A0. Based on the different electric field distributions of peak A0 and B0, we define the mode of peak A0 as Y mode and the mode of peak B0 as X mode for a clear expression. The four brightest graphene nanodisks in Y mode are extremely dark in X mode and vice versa. Another four graphene nanodisks composed of a square are relatively bright both in Y mode and X mode defined as the intersection part. We divide the peripheral graphene nanodisks into three parts with different chemical potentials μc1, μc2 and μc3 respectively (shown in Fig. 3a and b). The nanodisks with μc2 or μc3 are the brightest part in Y mode or X mode. The chemical potential of intersection part and center μc1 keeps 0.5 eV in next calculation. At first, μc2 increases to 0.6 eV and others keep 0.5 eV (shown in Fig. 3a). Then μc3 increases to 0.6 eV and others keep 0.5 eV (shown in Fig. 3b). By changing μc2 or μc3 to 0.6 eV respectively, a series of spectral variations visibly appear in Fig. 3c. We can see that by changing the chemical potential of sectional graphene nanodisks and leaving the other parameters constant, a flexible reconfiguration of the overall spectral shape is obtained, manifested by a systematic change in the height of two resonance peaks. In Fig. 3d, the electric fields of variant Y mode and X mode are plotted in detail. As shown in Fig. 1c, the real part of neff is inversely proportional to the chemical potential. Therewith when the chemical potential increases, the confinement of the incidence light becomes weak. The mechanism of local chemical potential change in graphene oligomer is that, the increase of chemical potential reduces the interaction between light and the graphene nanodisks, and pushes the hot spots to surrounding nanodisks. If the orientation of pushing is to the location of strong plasmonic resonance, the resonance is strikingly strengthened, otherwise it is reduced. This means that the effect of local chemical potential change relies on the electric field distributions of different modes. When μc2 increases to 0.6 eV, peak A0 significantly decreases and red shift to peak A1 due to the weak confinement of the four brightest graphene nanodisks for the incidence light, where the hot spots mainly concentrate on the intersection part. Simultaneously, peak B0 significantly increase and blue shift to peak B1, which is attributed to the fact that the increase of μc2 sufficiently enhance the X mode. For μc3=0.6 eV, it is the other way round. Peak A0 slightly increases and red shifts to peak A2 arising from the enhancement of Y mode with μc3 increasing. In the meantime, peak B0 blue shifts to peak B2 and decreases with the concentration of hot spots on the intersection part, which is in accord with peak A1.

Fig. 2

a The extinction spectra of graphene oligomer with the chemical potential ranging from 0.4 to 0.6 eV. b The simulated electric fields (|E|) at the two resonance peaks

Fig. 3

a, b Schematic illustration of selectional graphene nanodisks with different chemical potential change in graphene oligomer. c The extinction spectra with different chemical potentials. d The simulated electric field (|E|) at the resonance peaks A0, A1 and A2, B0, B1 and B2

These variations of Y mode and X mode give rise to the descent or enhancement in extinction spectra. A flexible control over the extinction curves is achieved by adjusting the EM behaviors of Y mode and X mode arising from selectively adding the chemical potentials of graphene nanodisks, which opens a novel path way for designing graphene nanodevices with different functions. For example, when μc2 = 0.6eV, peak A0 become lower while peak B0 significantly intensifies, which makes the graphene oligomer suitable for high efficient absorbers. In the other way, when μc3 = 0.6eV, the values of two peaks approach closely, which is convenient to design dual-band nanosensors.

The mode enhancement by increasing chemical potential of the intersection part

For the electromagnetic fields of two plasmonic modes, an intersection part composed of four graphene nanodisks between two plasmonic modes appears. As shown in Fig. 3d, the electric fields mainly concentrate on the four graphene nanodisks in the intersection part by locally changing the chemical potential. So we believe that the chemical potential of intersection part significantly influences the EM characteristics of graphene oligomer and profile of extinction spectra. We redistribute the chemical potentials in graphene oligomer. The chemical potential of four graphene nanodisks in intersection part is set as μc2. The chemical potential of other nanodisks μc1 keeps at 0.5 eV (shown in Fig. 4a). On the basic of the mechanisms of local chemical potential change, the increasing chemical potential of the intersection part intensifies both Y mode and X mode. As shown in Fig. 4b, with increasing μc2, the extinction spectrum is drastically modified. When μc2 increases to 0.6 eV, both two resonance peaks have a promotion compared with μc2=0.5 eV. It is noted that the there is a new resonance peak appears around the resonance peak of Y mode. When the μc2 further increases to 0.7 eV, the two resonance peaks become stronger and a new resonance peak obviously appears around the resonance peak of Y mode. The elucidation of strong enhancement of resonance peaks is that the increase of μc2 efficiently intensifies the both Y mode and X mode. The increase of μc2 facilitates the plasmonic oscillations of four graphene nanodisk in Y mode and X mode respectively. The resonance peak of Y mode splitting into two resonance peaks is a process of degeneration. As shown in Fig. 4c, the two resonance peaks labeled by I and II have same electric fields but the components of electric field are different. The directions of Ey of peak I and II are perpendicular to each other, which represent two plasmonic modes degenerating from Y mode. The two new plasmonic modes originally merge in Y mode, and the two modes begin to separate with μc2 increasing. In addition, both two degenerate resonance peaks with μc2 = 0.6eV are much larger than resonance peak with μc2 = 0.5eV. In such a manner, by choosing the graphene nanodisks of intersection part to increase their chemical potential, one can improve all resonance peaks in extinction spectra. It is proposed to enhance the absorption of graphene nanodisks by selectively changing the chemical potentials of adaptive graphene nanodisks, which helps to design plasmonic nanodevices capable of light absorption with high efficiency.

Fig. 4

a Schematic illustration of selectional graphene nanodisks with different chemical potentials to change chemical potential of intersection part. b The extinction spectra with increasing chemical potential of intersection part from 0.5 eV to 0.7 eV. c The electric fields (|E|) and the electric fields of y component (Ey) at the resonance peaks I and II

The effect of chemical potential of central nanodisk

The central graphene nanodisks introduced into the graphene oligomer is aimed to enable the nanostructures possess more flexibility and further investigate the effect of local chemical change in different positions. Due to the large distance between the central graphene nanodisk and the peripheral graphene nanodisks, the central graphene nanodisk cannot couple with the other graphene nanodisks in two plasmonic modes. In this section, we set the chemical potential of central graphene nanodisk as μc2. Others are set as μc1 keeping 0.5 eV (shown in Fig. 5a). Changing the chemical potential of central graphene nanodisk μc2 is able to modify EM fields of the graphene oligomer without changing the geometry. The results by increasing μc2 are shown in Fig. 5b and c. The increase of μc2 enhances the plasmonic oscillations of central graphene nanodisks. However, when increase of μc2 is relative small, the oscillator strength of central graphene nanodisk is not enough to support new plasmonic mode and influence the intrinsic modes, so the extinction spectrum μc2 = 0.6eV has almost no change compared with μc2 = 0.5eV, where two resonance peaks still appear (shown in Fig. 5b). When μc2 reaches to a large value (0.8 eV), a new resonance peak appears obviously in the extinction spectrum (shown in Fig. 5c). The huge improvement of plasmonic oscillations profoundly changes the profile of extinction spectrum. The new resonance peak originates from the strong interaction between the incident light and the central graphene nanodisk, of which the EM fields mainly concentrate on the central graphene nanodisk, which is defined as the central mode. The resonance peak supported by the central mode is much larger than two intrinsic resonance peaks, while the two intrinsic resonance peaks are drastically suppressed and even disappear in the extinction spectrum. The effect of μc2 is different from the effect discussed earlier, because the central graphene nanodisk is not contained in the innate plasmonic modes. The effect of μc2 consists with changing the chemical potential of whole graphene oligomer which is discussed in the beginning. In such a manner, by increasing μc2, one can design the novel plasmonic device capable of absorbing incident light efficiently. Combining with aforementioned studies, the flexible tailor of the localizations of the electromagnetic field can be achieved by precisely adjusting the chemical potentials of the graphene nanodisk in different positions.

Fig. 5

a Schematic illustration of selectional graphene nanodisks with different chemical potentials to change chemical potential of central graphene nanodisk. b The extinction spectra of graphene oligomer with the chemical potential of central graphene nanodisk μc2 = 0.5eV and μc2 = 0.6eV. c The extinction spectrum of graphene oligomer with the chemical potential of central graphene nanodisk μc2 = 0.8eV. The inset shows the electric fields (|E|) at the resonance peak

In practice, continuous atomic single-layer of graphene is first grown using an optimized chemical vapor deposition method with CH4 as the carbon source. Then graphene film is determined to be monolayer by Raman measurements. The electron-beam lithography with poly(methyl methacrylate) (PMMA) as an electron beam resist is used to pattern the graphene film to produce the proposed nanostructures, and the exposed area is etched away by the oxygen plasma, remaining the pattern of graphene protected by a PMMA layer with subsequent lift-off using acetone. Then the device is ready for test. The chemical potential can be tuned via manipulating chemical and electrostatic doping. For chemical doping, local chemical potential change can be realized by exposing the required graphene nanodisks to HNO3 vapor and simultaneously preventing the contact between other graphene nanodisks and HNO3 vapor. For electrostatic doping, an appropriate top gate configuration may locally manipulate the chemical potential of graphene by supplying top gate voltage.


In conclusion, we have demonstrated the versatility of the graphene oligomer to modify the EM behaviors and spectral lineshape by varying chemical potential of graphene at the nanoscale. The characteristics are summarized from the electric fields and extinction spectra of the various chemical potentials. First, by changing the chemical potential of two graphene nanodisks in Y mode and X mode respectively, a flexible variation of two resonance peaks appears in extinction spectra. The two resonance peaks can be enhanced or reduced by changing the different chemical potentials of graphene oligomer. Second, increasing the chemical potential of intersection part intensifies the both two resonance peaks and gives rise to degeneration of Y mode. Third, high chemical potential of central graphene nanodisk is able to support a strong resonance peak and simultaneously restrain two innate resonance peaks. The dependence of the graphene oligomer on chemical potential suggests that one can modify the EM behaviors of the graphene nanostructure with chemical potential without modifying the geometry. The previous studies based on graphene nanostructures can only change one absorption peak by changing chemical potential of whole graphene [19,20,21,22,23], but the method of changing chemical potential of graphene in this paper can tune the spectra with additional flexibility, which brings out more surpassing EM phenomena. In the realm of practical applications, our studies provide a new degree of freedom for modifying the graphene plasmonics by tuning the chemical potential of the graphene nanostructures. The graphene nanostructures provide a facile platform to cultivate the EM behaviors with light in two dimensions, which pave a way for the design of graphene-based plasmonic nanodevices for nanosensing, light trapping and photodetection.







Perfectly Matched Layer


Plasmonic molecules


Surface plasmon polaritons


Surface plasmons


  1. 1.

    Chen H, Chan CT, Sheng P (2010) Transformation optics and metamaterials. Nat Mater 9:387–396.

    CAS  Article  Google Scholar 

  2. 2.

    Shalaev VM (2007) Optical negative-index metamaterials. Nat Photonics 1:41–48.

    CAS  Article  Google Scholar 

  3. 3.

    Wang J, Zhou W, Li EP (2009) Enhancing the light transmission of plasmonic metamaterials through polygonal aperture arrays. Opt Express 17:20349–20354.

    CAS  Article  Google Scholar 

  4. 4.

    Liu N, Weiss T, Mesch M, Langguth L, Eigenthaler U, Hirscher M, Sonnichsen C, Giessen H (2010) Planar metamaterial analogue of electromagnetically induced transparency for plasmonic sensing. Nano Lett 10:1103–1107.

    CAS  Article  Google Scholar 

  5. 5.

    Avitzour Y, Urzhumov YA, Shvets G (2009) Wide-angle infrared absorber based on a negative-index plasmonic metamaterial. Phys Rev B 79.

  6. 6.

    Hao JM, Wang J, Liu XL, Padilla WJ, Zhou L, Qiu M (2010) High performance optical absorber based on a plasmonic metamaterial. Appl Phys Lett 96:3.

    CAS  Article  Google Scholar 

  7. 7.

    Pitarke JM, Silkin VM, Chulkov EV, Echenique PM (2007) Theory of surface plasmons and surface-plasmon polaritons. Rep Prog Phys 70:1–87.

    CAS  Article  Google Scholar 

  8. 8.

    Kuttge M, Vesseur EJR, Koenderink AF, Lezec HJ, Atwater HA, García de Abajo FJ, Polman A (2009) Local density of states, spectrum, and far-field interference of surface plasmon polaritons probed by cathodoluminescence. Phys Rev B 79.

  9. 9.

    Liu N, Langguth L, Weiss T, Kastel J, Fleischhauer M, Pfau T, Giessen H (2009) Plasmonic analogue of electromagnetically induced transparency at the drude damping limit. Nat Mater 8:758–762.

    CAS  Article  Google Scholar 

  10. 10.

    Fan JA, Wu C, Bao K, Bao J, Bardhan R, Halas NJ, Manoharan VN, Nordlander P, Shvets G, Capasso F (2010) Self-assembled plasmonic nanoparticle clusters. Science 328:1135–1138.

    CAS  Article  Google Scholar 

  11. 11.

    Liu N, Mukherjee S, Bao K, Brown LV, Dorfmuller J, Nordlander P, Halas NJ (2012) Magnetic plasmon formation and propagation in artificial aromatic molecules. Nano Lett 12:364–369.

    CAS  Article  Google Scholar 

  12. 12.

    Shao L, Fang C, Chen H, Man YC, Wang J, Lin HQ (2012) Distinct plasmonic manifestation on gold nanorods induced by the spatial perturbation of small gold nanospheres. Nano Lett 12:1424–1430.

    CAS  Article  Google Scholar 

  13. 13.

    Quidant R, Ren B, Sailor MJ (2017) Virtual issue on plasmonic-based sensing. ACS Photonics 4:2382–2384.

    CAS  Article  Google Scholar 

  14. 14.

    Lal S, Grady NK, Kundu J, Levin CS, Lassiter JB, Halas NJ (2008) Tailoring plasmonic substrates for surface enhanced spectroscopies. Chem Soc Rev 37:898–911.

    CAS  Article  Google Scholar 

  15. 15.

    Ren M, Plum E, Xu J, Zheludev NI (2012) Giant nonlinear optical activity in a plasmonic metamaterial. Nat Commun 3:833.

    CAS  Article  Google Scholar 

  16. 16.

    West PR, Ishii S, Naik GV, Emani NK, Shalaev VM, Boltasseva A (2010) Searching for better plasmonic materials. Laser Photonics Rev 4:795–808.

    CAS  Article  Google Scholar 

  17. 17.

    Zhao J, Qiu W, Huang Y, Wang JX, Kan Q, Pan JQ (2014) Investigation of plasmonic whispering-gallery mode characteristics for graphene monolayer coated dielectric nanodisks. Opt Lett 39:5527–5530.

    CAS  Article  Google Scholar 

  18. 18.

    Chen HB, Qiu WB, Qiu PP, Ren JB, Lin ZL, Wang JX, Kan Q, Pan JQ (2017) Mode coupling properties of the plasmonic dimers composed of graphene nanodisks. Appl Sci-Basel 7:10.

    CAS  Article  Google Scholar 

  19. 19.

    Llatser I, Kremers C, Cabellos-Aparicio A, Jornet JM, Alarcón E, Chigrin DN (2012) Graphene-based nano-patch antenna for terahertz radiation. Photonics Nanostruct Fundam Appl 10:353–358.

    Article  Google Scholar 

  20. 20.

    Tamagnone M, Gómez-Díaz JS, Mosig JR, Perruisseau-Carrier J (2012) Reconfigurable terahertz plasmonic antenna concept using a graphene stack. Appl Phys Lett 101:214102.

    CAS  Article  Google Scholar 

  21. 21.

    Fang Z, Wang Y, Schlather AE, Liu Z, Ajayan PM, de Abajo FJ, Nordlander P, Zhu X, Halas NJ (2014) Active tunable absorption enhancement with graphene nanodisk arrays. Nano Lett 14:299–304.

    CAS  Article  Google Scholar 

  22. 22.

    Han X, Wang T, Li X, Xiao S, Zhu Y (2015) Dynamically tunable plasmon induced transparency in a graphene-based nanoribbon waveguide coupled with graphene rectangular resonators structure on sapphire substrate. Opt Express 23:31945–31955.

    CAS  Article  Google Scholar 

  23. 23.

    Qiu W, Huang Y, Chen H, Qiu P, Tang Y, Wang J-X, Kan Q, Pan J-Q (2016) Coupling of whispering-gallery modes in the graphene nanodisk plasmonic dimers. Plasmonics 12:39–45.

    CAS  Article  Google Scholar 

  24. 24.

    Ju L, Geng B, Horng J, Girit C, Martin M, Hao Z, Bechtel HA, Liang X, Zettl A, Shen YR et al (2011) Graphene plasmonics for tunable terahertz metamaterials. Nat Nanotechnol 6:630–634.

    CAS  Article  Google Scholar 

  25. 25.

    Low T, Avouris P (2014) Graphene plasmonics for terahertz to mid-infrared applications. ACS Nano 8:1086–1101.

    CAS  Article  Google Scholar 

  26. 26.

    Qiu W, Liu X, Zhao J, He S, Ma Y, Wang J-X, Pan J (2014) Nanofocusing of mid-infrared electromagnetic waves on graphene monolayer. Appl Phys Lett 104:041109.

    CAS  Article  Google Scholar 

  27. 27.

    Zheng Z-B, Li J-T, Ma T, Fang H-L, Ren W-C, Chen J, She J-C, Zhang Y, Liu F, Chen H-J et al (2017) Tailoring of electromagnetic field localizations by two-dimensional graphene nanostructures. Light Sci Appl 6:e17057.

    CAS  Article  Google Scholar 

  28. 28.

    Ren J, Qiu W, Chen H, Qiu P, Lin Z, Wang JX, Kan Q, Pan JQ (2017) Electromagnetic field coupling characteristics in graphene plasmonic oligomers: from isolated to collective modes. Phys Chem Chem Phys 19:14671–14679.

    CAS  Article  Google Scholar 

  29. 29.

    Ren JB, Wang GQ, Qiu WB, Lin ZL, Chen HB, Qiu PP, Wang JX, Kan Q, Pan JQ (2017) Optimization of the fano resonance lineshape based on graphene plasmonic hexamer in mid- infrared frequencies. Nanomaterials 7:12.

    CAS  Article  Google Scholar 

  30. 30.

    Shi B, Cai W, Zhang X, Xiang Y, Zhan Y, Geng J, Ren M, Xu J (2016) Tunable band-stop filters for graphene plasmons based on periodically modulated graphene. Sci Rep 6:26796.

    CAS  Article  Google Scholar 

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The authors are grateful to the support by the Natural Science Fund of China under grant No. 61378058, Fujian Province Science Fund for Distinguished Young Scholars (No. 2015 J06015), the Promotion Program for Young and Middle-Aged Teachers in Science and Technology Research of Huaqiao University (No. ZQN-YX203) and Project for Cultivating Postgraduates’ Innovative Ability in Scientific Research of Huaqiao University (1611301026).

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WQ supervised this project, JR and WQ provided the original idea, JR, HC, and PQ created the models and run the simulations, JR, GW, WQ, PQ, ZL, J-XW, QK, and J-QP discussed and analyzed the results, JR and WQ wrote the paper. All authors read and approved the final manuscript.

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Correspondence to Weibin Qiu.

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Ren, J., Wang, G., Qiu, W. et al. A flexible control on electromagnetic behaviors of graphene oligomer by tuning chemical potential. Nanoscale Res Lett 13, 349 (2018).

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  • Graphene oligomer
  • Surface plasmon
  • Electromagnetic tunability
  • Optical absorption