Abstract
Converting transverse photons into longitudinal two-dimensional plasmon-–polaritons (2D-PP) and vice versa presents a significant challenge within the fields of photonics and plasmonics. Therefore, understanding the mechanism which increases the photon – 2D-PP conversion efficiency could significantly contribute to those efforts. In this study, we theoretically examine how efficiently incident radiation, when scattered by a silver spherical nanoparticle (Ag-NP), can be transformed into 2D-PP within van der Waals (vdW) heterostructures composed of hexagonal boron nitride and graphene (hBN/Gr composites). We show that the Dirac plasmon (DP) excitation efficiency depends on the Ag-NP radius as R 3, and decreases exponentially with Ag-NP height h, so that for a certain Ag-NP geometry up to 25 % of the incident electrical field is channeled into the DP. We demonstrate that the linear plasmons (LPs) excitation efficiency can be manipulated by changing the graphene–graphene distance Δ (or hBN thickness) or by changing the number of graphene layers N. By increasing Δ and/or N the LPs move towards smaller wave vectors Q and become accessible by the Ag-NP dipole field, so that for N ≥ 5 the excitation of more than one LP is possible. These results are supported by recent scattering-type scanning near-field optical microscopy (s-SNOM) measurements. Furthermore, we show that Ag-NPs with specific parameters preferentially hybridizes with DPs of a particular wavelength λ D , facilitating selective excitation of DPs. The obtained tuning possibilities could have a significant impact on applied plasmonics, photonics or optoelectronics.
1 Introduction
Longitudinal collective electromagnetic modes in atomically thin 2D crystals known as 2D plasmon–polaritons (2D-PP) were extensively studied in the last decade. Namely, 2D-PPs carry a strong evanescent electric field that propagates only close to the 2D crystal, hence their trajectory along the 2D crystal can be efficiently manipulated akin to a nanoscale waveguide [1]. Even more, the intensity, frequency and range of 2D-PPs strongly depend on the effective number of charge carriers in the valence band, which in 2D crystals can be changed electrostatically but also using different types of 2D crystals. These properties have facilitated the use of conductive 2D crystals in numerous applications across optoelectronics, photonics [1], [2], [3], plasmonics [4], [5], [6], as a photodetectors, sensors and in telecommunications [1], [7], [8]. Considering that 2D-PPs are evanescent (or dark) modes, they can neither radiate nor be excited directly by radiation. Therefore the capability of converting 2D-PPs into light and vice versa is particularly valuable for the aforementioned applications. For this reason alone, increasing the conversion efficiency is a pivotal challenge within the plasmonics and photonics communities [5], [9], [10], [11], [12], [13], [14], [15]. Moreover, with the advent of vdW heterostructures, extensive manipulation of the plasmonic properties became possible, both through stacking different types of 2D crystals that form a heterostructure, as well as through electrostatic or chemical doping [4], [16], [17]. Namely, the use of different 2D semiconducting layers enables the creation of diverse dielectric environments that could significantly change the plasmonic properties arising from conductive layers [18]. While previous theoretical work has focused on the intensity, dispersion [19], [20], [21], propagation length [22], [23] and damping of 2D plasmons [24], studies on the excitation efficiency of 2D-PP using external radiation are less common [10], [25], [26], [27]. Our work aims to deepen the understanding of light-2D-PP switching efficiency, particularly in vdW composites, which could enable on-demand selective coupling between light and 2D-PP, as mentioned above.
In this paper, we study the intensities of the electromagnetic modes in the vdW heterostructure composed of alternatively stacked doped graphene [Gr(n)] and hexagonal boron-nitride (hBN) single-layers (SL). Here n denotes the concentration of electrons in the graphene π* band. The electromagnetic modes are driven by a nearby silver (Ag) spherical nanoparticle (Ag-NP) illuminated by monochromatic radiation. The electronic response in hBN and Gr SLs are described using random phase approximation (RPA) optical conductivities σ 0 calculated from first principles [28], [29]. To describe the electromagnetic modes and their coupling to external radiation we applied the propagator technique; solving the Dyson equation for the propagator of the electromagnetic field (or photon propagator) Γ [29], [30], [31]. Here, the photon propagator Γ is the fundamental variable from which we derive all other studied quantities.
We briefly define the nomenclature of electromagnetic modes in a vdW composite composed of N graphene (Gr) and N − 1 hexagonal boron nitride (hBN) single layers (SLs), distinguishing one Dirac plasmon (DP) and N − 1 linear plasmons (LPs). We explore Ag-NP absorptivity when placed near the vdW composite, as well as the electrical fields scattered at screened Ag-NP and reflected from the vdW composite. We show that although Ag-NP is a very weak IR absorber, it channels the electromagnetic field very well into 2D-PP so that even 25 % of the incident field is converted into DP. We demonstrate the selective hybridisation of Ag-NP with DP of certain wavelength λ D , regardless of the doping n or the number of layers N. We also explore the spatial distribution of the electrical field carried by DP and LPs and explore the parameter space (n, N) for which the efficient excitation of LPs is feasible. Finally, we obtain a very good agreement with recent experimental measurements of the DP and LP in a Gr/hBN/Gr composite [32].
The paper is organized as follows: Section 2 outlines the system’s geometry and includes the derivation of the photon propagator Γ, RPA optical conductivity σ 0, and scattered electrical field E sc. In Section 3 we present the computational details, followed by a discussion of results in Section 4. Finally, Section 5 summarizes our conclusions.
2 Theoretical formulation
In the scattering-type scanning near-field optical microscopy (s-SNOM) experiment the incident monochromatic radiation of frequency ω
0 and wave vector q
0 = (Q
0, q
z0), where q
0 = ω
0/c, excites localised dipole active modes (for example Mie resonances or plasmons) in the subwavelength AFM tip. This results in the scattering of the incident radiation to all radiative (far field)
2.1 Calculation of photon propagator
Building upon the foundational research detailed in prior studies [28], [29], [30], [31], it is established that the intensity of electromagnetic modes in 2D crystals within the (Q, ω) phase space is determined by the real part of the electromagnetic field (or photon) propagator, denoted as
Moreover, by applying a 2D approximation, the unscreened conductivity of a vdW composite, which consists of n parallel stacked 2D crystals that occupy the planes z = z i ; ∀i ∈ [1, …, n], becomes
where
where
The s(TE) polarisation contribution is
while the p(TM) contribution is
where sgn
zz′ = sgn(z − z′), Q = Q(cosθ
Q
, sinθ
Q
),
Here the intraband (n = m) or Drude conductivity is,
where the effective number of charge carriers is
The interband (n ≠ m) conductivity is
where the current vertices are defined as
and the current produced by transitions between Bloch states
Here Ω = S × l is the normalization volume, S is the normalization surface, l is supercell lattice constant in the z direction (used in DFT calculation of the self-standing 2D crystal), (n, m) are band indices, K are 2D wave-vectors in the first surface Brillouin zone (1. SBZ) and
The above 2D approximation makes it possible to express all studied quantities in terms of 2D conductivities
We emphasize here that simpler analytical or semi-analytical TBA models could be used instead to obtain graphene and hBN optical conductivities [35], [36]. However, for lower doping and in the intermediate frequency range (0.5 < ω < 1.5 eV), this can reduce the accuracy of the results (as discussed in Section S5A of Supplementary Materials [37]). Therefore in this work the more accurate ab initio conductivities were calculated, as they are only slightly more computationally demanding for smaller unit cells, such as that of graphene or hBN.
2.2 Simulation of the s-SNOM experiment
Suppose that Ag-NP is illuminated by incident monochromatic radiation of unit amplitude
Since the wavelength of the incident radiation is much larger than the dimension of the nanoparticle (λ 0 = 2πc/ω 0 ≫ R) and also much larger than the unit cell of vdW composites (λ 0 ≫ a, l), from now on we shall use the dipole approximation (q 0 = 0). This is a standard procedure that does not affect the validity of the obtained results. The electromagnetic energy absorption rate in Ag-NP is then [38]
where the Ag-NP screened (or dressed) polarizability tensor is
where
Here the bare polarisability of Ag-NP is
where ϵ Ag(ω) represents the Ag macroscopic dielectric function, and R is the nanoparticle radius. The coupling strength between the plasmonic modes in Ag-NP and the electromagnetic modes in the vdW composite is
where h is the vertical distance of the nanoparticle from the origin z = 0, and the surface electromagnetic field propagator is defined as
Here
The reflected field propagator in Eq. (18) in principle represents the reflection coefficient of the entire vdW composite
where the screened conductivities are
and where the bare electrical field propagators are
as described in detail in Section S5C of Supplementary Materials [37].
The derivation of the screened polarisability (Eq. (15)) is schematically illustrated in Figure 2(a). The Ag-NP dynamical dipole α
0
e induces the electromagnetic field at the vdW surface which subsequently scatters and reflects multiple times generating a screened or dressed dynamical dipole
where the propagator of the total electromagnetic field (propagating the interaction between z = h and 0 < z < h) is
After inserting the definition of the bare propagator (Eqs. (4)–(6)), the total propagator (Eq. (19)) is explicitly
where
Because in our case the dipole is the polarisable Ag-NP at ( ρ = 0, h) driven by external radiation, the following substitution can be performed
and the scattered electrical field at ( ρ , 0 < z < h) becomes
The first term, schematically shown in Figure 2(b), represents the electromagnetic field scattered on the screened Ag-NP
The second term, depicted schematically in Figure 2(c), represents the field initially scattered by the screened Ag-NP and subsequently reflected from the vdW composite
More specifically, the first term represents the usual dipole electrical field which also takes into account the modification of the dipole polarisability due to the presence of the vdW surface. The second term represents the electrical field which produces the current in the vdW crystal induced by the screened dipole. In other words, the second term gives us information about the electric field carried by the 2D-PPs induced in the vdW crystal. Therefore, in the following, the 2D-PP will be analysed through the scattered field (Eq. (25)), and the modification of the Ag-NP polarizability will be analysed through the absorptivity (Eq. (13)). Moreover, it should be emphasized that the 2D-PP excitation efficiency strongly depends on screening affecting the polarisability α. We shall see below that it is the hybridization of Ag-NP with 2D-PP that enhances the polarisability in the infrared (IR) range and thereby increases the 2D-PP excitation efficiency. Lastly, we disregareded processes where the incident field initially scatters (or rather reflects) on the vdW composite. This omission is fully justified since the field reflected from the Gr/hBN composite is very weak, resulting in minimal scattering on the Ag-NPs and thus negligible excitation of 2D-PPs.
3 Computational details
The KS wave functions ϕ
n
K
and energies E
n
K
used to calculate the RPA conductivities σ
0 (Eqs. (7)–(11)) in Gr and hBN SLs were determined using a plane-wave self-consistent field DFT code (PWSCF) within the Quantum Espresso 6.4 package [40], [41], [42]. For both 2D crystals (Gr and hBN), as well as bulk Ag crystal, the core-electrons interaction was approximated by the norm-conserving pseudopotentials [43], [44] and the exchange-correlation (XC) potentials were approximated by the scalar-relativistic Perdew–Burke–Ernzerhof (PBE) generalized gradient approximation (GGA) functional [45]. The Gr and hBN ground state electronic densities were calculated by using the 12 × 12 × 1 Monkhorst–Pack (MP) K-mesh [46], the plane-wave cut-off energy was converged to 50 Ry and the density cut-off to 400 Ry. Both Bravais lattices were hexagonal, with cell parameters corresponding to a
Gr = 2.46 Å and a
hBN = 2.51 Å, respectively. The superlattice constant was l = 12.3 Å for both crystals. Optical conductivities of both graphene and hBN layers were calculated from Eqs. (7)–(11), where for hBN only the interband contribution (Eq. (10)) was taken into account. Therefore, the hBN conductivity was in fact calculated within the random phase approximation, while the ladder contribution σ
ladder, responsible for excitonic effects [29], was neglected. For both crystals the wave vector K summations in Eqs. (9) and (10) were performed by using a 201 × 201 × 1 K-mesh. The band summations were performed over 20 and 30 bands for Gr and hBN, respectively. Also, for both layers we used the same phenomenological damping constants η
intra = 10 meV and η
inter = 50 meV. The hBN band-gap was set to the DFT value
where q and G are the 3D transfer wave vector and the reciprocal lattice vector, respectively, corresponding to bulk Ag crystal. The dielectric matrix is
To ensure that the 2D approximation can be safely applied and therefore validate the results obtained, we performed ground state calculations of trilayer Gr/hBN/Gr composite. To ensure proper treatment of the long range London dispersion which is important to obtain the correct interlayer distance in the structural optimization, we employed the vdW-DF-cx functional [49]. The choice of pseudopotenials was the same as for hBN and Gr as noted above. The relaxation of atomic positions was performed self-consistently until forces on all atoms were below 1 mRy/a.u. while keeping the parallel (a, b) cell parameters strained to the graphene cell size as relaxing parallel cell parameters did not yield any difference in results. The perpendicular cell size was set to c = 7a to prevent spurious interaction occurring between periodic replicas. The distance between graphene and hBN layers was found to be Δ = 3.2 Å after the relaxation. The Brillouin zone was sampled with a 13 × 13 × 1 MP mesh and wavefunction/density cutoffs were converged to 65/280 Ry for the Gr/hBN/Gr trilayer. In addition, ground state calculations for Gr and hBN were also repated with the vdW-DF-cx functional for the band structure comparison with a 13 × 13 × 1 MP mesh. Their wavefunction/density cutoffs were converged to 55/240 Ry and 80/320 Ry, respectively. The Methfessel–Paxton electron smearing parameter was kept at 10 mRy for all calculations.
In the 2D model, the separation between Gr and hBN planes Δ was kept constant and set to 3.2 Å as obtained in the DFT structural optimization calculation for the Gr/hBN/Gr heterostructure. However, we emphasize that the results were quite insensitive to a small variation in Δ.
4 Results and discussions
To clarify the 2D plasmon mode nomenclature in the Gr/hBN composite we first analyse a very simple toy model. We start from the most simple model system – a single-layer doped graphene (N = 1). Moreover, we suppose that the electromagnetic modes propagate in the x direction Q = (Q, 0), taking into account that Gr is difficult to polarise in the z direction
where the dielectric tensor is the following 2 × 2 matrix
and where
whereas the transverse dielectric function becomes
where
which is the dispersion relation of the longitudinal DP. A detailed analysis of Dirac plasmon intensity and scattered field in single-layer graphene (N = 1) for different doping concentrations n is presented in Section S2 of Supplementary Materials [37].
We now proceed to consider a more complex system, the Gr(n)/hBN/Gr(n) trilayer. Given that the Gr/hBN separation is defined by Δ, it follows that the Gr/Gr separation is 2Δ (see Figure 1). Because we assumed that both graphenes are equally doped and we neglected the interband polarisability (which means that the polarization of hBN is completely neglected), according to Dyson’s equation (Eq. (3)) the longitudinal dielectric tensor is
By solving the eigenvalue problem
and which produces the electrical field which in the neighbouring graphene sheets oscillates in-phase
Accordingly, in the Gr/Gr bilayer, the light will be scattered into two wave vectors Q ± which, according to Eq. (32), scaled to wave vector Q p , are
According to Eq. (34), the DP wave vector Q
+ scaled to wave vector Q
p
evidently displays universal behaviour so we predict that the peak at Q
+/Q
p
that appears in s-SNOM measurements is weakly dependent on Δ or graphene doping n. On the contrary, the peak at
In accordance with experiment [32] the excitation frequency is chosen to be ℏω 0 = 117 meV, h = 25 nm and the Gr/hBN composite consists of 12 nm thick hBN dielectric slabs sandwiched by two graphene SLs. Adapted to our model the experimental system corresponds to Gr(n)/hBN37/Gr(n) composite consisting of 37 hBN layers and two Gr layers at a distance 2Δ ≈ 12.7 nm. Here we assumed that the hBN film is a bulk crystal so that hBN layers are 3.33 Å apart, the hBN-Gr distance at the bottom and top is 3.2 Å and both graphenes are equally doped by electrons of concentration n. Figure 3 shows the Fourier transform of the scattered field (Eq. (35)) in Gr(n)/hBN37/Gr(n) composite for different electron concentrations; n = 5 × 1012 cm−2 (red), n = 1 × 1013 cm−2 (orange), n = 5 × 1013 cm−2 (green) and n = 1 × 1014 cm−2 (blue). It can be seen that the change in the position of the DP peak is very small even though the doping is multiplied up to 20 times. On the contrary, the position of the LP peak moves significantly to the right as doping increases. The experimental result taken from Ref. [32] is represented by black squares. The experimental Q p is also rescaled to correspond to our definition (Eq. (33)). Remarkably, we observer an excellent agreement with the experimental DP, even though the experimental doping is not known, confirming the universality of DP. Moreover, the consistency between our theoretical predictions and the experimental LPs allows us to estimate the experimental doping to be around n ≈ 1 × 1013 cm−2.
As the number of graphene layers increases, the number of linear plasmons multiplies, while the DP branch increasingly shifts towards higher energies. Figure 4(a) shows the intensity of the surface electromagnetic modes (
In the subsequent paragraph, we will examine the efficiency with which external radiation, after scattering off Ag-NPs, couples to DP or LPs in various Gr/hBN composites.
Figure 5(a) shows the normalised electromagnetic energy absorption rate in Ag-NP of radius R = 20 nm at a height h = 30 nm above the Gr(n)/hBN composite (N = 2) for different doping concentrations; n = 0 cm−2 (brown), n = 5 × 1012 cm−2 (red), n = 1 × 1013 cm−2 (orange), n = 5 × 1013 cm−2 (green) and n = 1 × 1014 cm−2 (blue). The dashed lines represent the results from the Drude model (σ
0 = σ
intra), while the solid line represents the results from the full RPA model (σ
0 = σ
intra + σ
inter). The black solid line (shaded in grey) shows the absorption of Ag-NP in a vacuum. The absorbance of Ag-NP in a vacuum is, in the shown frequency range, negligible. The weak contribution we see is essentially the tail of the Mie plasmon resonance at ω ≈ 3.4 eV. However, when the Ag-NP is brought into close contact with the Gr/hBN composite, there is a marked increase in its absorbance, which exhibits a pronounced dependence on doping levels. In the case of pristine graphene (n = 0), there is a modest interaction between the Ag-NP and the interband π → π* excitations in Gr, resulting in relatively low absorbance – merely around 10 % of the quantum conductance of graphene
The efficiency at which the external field is scattered on the Ag-NP or the vdW composite can be characterized by the ratio of incident and scattered fields E
sc,NP,vdw(ω)/E
0. Given that the incident field Eq. (12) is assumed to have unit amplitude, it is sufficient to directly observe the fields E
sc,NP,vdw(ω), which are consequently also dimensionless. Figure 5(c) shows the dimensionless scattered electrical field
The scattered field
The universality highlighted in Figure 5(a) and (b) is clearly illustrated in Figure 6(a)–(c), which displays the intensities of the surface electromagnetic modes
Figure 6(d) shows the dimensionless scattered field in the z = 0 plane
For the above-selected excitation frequencies, the contribution of LPs in the scattered field is negligible as the Ag-NP excites LPs with large wave vectors Q ≫ 1/h inefficiently (due to the attenuation factor eiβh
∼ e−Qh
in Eq. (25)). Therefore, to observe LPs, one should reduce the driving frequency ω
0 enabling the excitations of LP with a smaller wave vector Q. Figure 6(e) and (f) show the scattered field
Figure 7(e) and (f) show the scattered field
The way one can control the LPs excitation efficiency is by changing the thickness Δ. For example, for N = 2 the LP dispersion relation is
It is also important to consider that hBN supports polar LO phonon which can hybridize with Dirac plasmon in graphene sheets and thereby influence the electrodynamic properties of the vdW composite [53], [54]. In order to investigate how hybridization of LO phonons and plasmons affects the efficiency of Dirac plasmon launching, we performed a calculation in which hBN LO phonon is included via a local conductivity
described by three parameters: the LO phonon group velocity v g = 1.2 × 10−4 c, frequency ω LO = 1387 cm−1, and the phenomenological damping constant τ −1 = 10 cm−1 [55]. Our calculations (see Section S6 of Supplementary Materials [37]) indicate that for dopings n ≥ 1 × 1013 cm−2 the oscillatory strength of the Dirac plasmon significantly prevails over the oscillatory strength of the LO phonon, so that the phonon weakly affect the plasmon spectrum and thus the plasmon excitation efficiency. Conceivably, for much lower doping values, when plasmon and photon oscillatory strengths become comparable, hBN phonon can more significantly affect the vdW composite electrodynamic properties. The same applies when graphene is physisorbed on a thicker hBN slab or at some insulating surface such as SiO2 [53], [54]. For example, in Ref. [56] it can clearly be seen that the Dirac plasmon (for n = 1 × 1013 cm−2) hybridizes far more weakly with the LO phonon in the hBN monolayer compared to the hybridisation with two SO phonons at the SiO2 surface.
In summary, the manipulation of composite thickness and graphene doping presents a versatile approach to modulate the excitation efficiency of 2D plasmons in vdW heterostructures. This tunability is pivotal for enhancing the performance of devices in photonics, plasmonics, and chemical sensing. While the silver nanoparticle (Ag-NP) utilized in our calculations primarily functioned as an efficient light scatterer rather than an absorber – owing to its plasmonic resonance in the UV region – it was instrumental in directing electromagnetic energy into both Dirac plasmons (DPs) and linear plasmons (LPs). Looking ahead, the substitution of Ag-NP with large organic molecules that support IR-active excitons – or leveraging IR-active molecular vibrational modes – could offer a more efficient method for directing radiation into various 2D plasmons. This approach may further optimize the plasmonic interactions for infrared applications, potentially leading to improved device performance in the fields of spectroscopy, optoelectronics, waveguiding, etc.
Finally, we note that retardation effects only have a minor impact on most conclusions of this work, especially for larger doping values (n ≥ 1 × 1013 cm−2) and the set of geometric parameters (h, Δ, R) we explored. Even though including retardation effects complicates the formalism somewhat and is computationally more demanding, we think it preferable (and justified) for two main reasons. Frist, even though for our selected geometric parameters the evanescent (near-field) effects are dominant, for other alternative geometries (e.g. larger h and/or Δ) radiative (far-field) effects would prevail rendering the non-retarded (c → ∞) formalism completely ineffective. Second, the retarded formalism treats p(TM) and s(TE) modes at the same level of accuracy, while in the non-retarded formalism s(TE) modes are not even accounted for. Therefore, although our study is limited to the study of p(TM) modes, extending it to s(TE) modes is straightforward, an option not available with the non-retarded approach.
5 Conclusions
In this study, we have demonstrated that subwavelength Ag nanoparticles (Ag-NPs) can efficiently funnel incident electromagnetic radiation into various 2D plasmons within a Gr/hBN heterostructure. We observed that with increased doping (n) and heterostructure thickness, up to 25 % of the incident electric field can be converted into a Dirac plasmon. Our results further reveal that external radiation can selectively excite a series of linear plasmons (LPs), with the degree of excitation controllable by adjusting the number of graphene layers (N) or the interlayer spacing (Δ). This tunability was corroborated by the strong correlation between our simulations of a graphene bilayer system (Gr/hBN37/Gr) and recent experimental data. A notable finding of our work was the observed universality in the interaction between Ag-NPs and DPs; Ag-NPs with specific dimensions (R and h) consistently hybridize with DPs of a particular wavelength (λ D ), independent of N or n. This phenomenon enables targeted excitation of DPs by fine-tuning R and h. The ability to control these interactions through multiple parameters (n, Δ, N, R and h) holds significant potential for advancing plasmonics, photonics and optoelectronics, particularly in applications where selective and efficient photon-to-2D plasmon–polariton conversion is crucial.
Funding source: European Regional Development Fund
Award Identifier / Grant number: KK.01.1.1.01.0004
Funding source: Horizon 2020 Framework Programme
Award Identifier / Grant number: 676531
Funding source: Hrvatska Zaklada za Znanost
Award Identifier / Grant number: IP-2020-02-5556
Acknowledgments
The authors are grateful to Dino Novko and Ivan Kupi for useful discussions.
-
Research funding: The authors acknowledge the financial support from QuantiXLie Center of Excellence, a project co-financed by the Croatian Government and European Union through the European Regional Development Fund – the Competitiveness and Cohesion Operational Program (Grant No. KK.01.1.1.01.0004). V.D. acknowledges the financial support from Croatian Science Foundation (Grant No. IP-2020-02-5556). S.d.G. acknowledges the support from the European Commission through the MaX Centre of Excellence for supercomputing applications (Grant Nos. 10109337 and 824143) and by the Italian MUR, through the Italian National Centre for HPC, Big Data, and Quantum Computing (Grant No. CN00000013). Computational resources were provided by CINECA.
-
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission. N.G. performed numerical calculations, generated graphical representations, and wrote the manuscript. S.d.G. corrected and supervised the writing of the manuscript and contributed to the scientific investigation V.D. corrected and supervised the writing of the manuscript, and lead the scientific investigation.
-
Conflict of interest: Authors state no conflicts of interest.
-
Ethical approval: The conducted research is not related to either human or animals use.
-
Data availability: Data generated in this study is available from the corresponding authors upon reasonable request.
References
[1] J. Wang, Z. Xing, X. Chen, Z. Cheng, X. Li, and T. Liu, “Recent progress in waveguide-integrated graphene photonic devices for sensing and communication applications,” Front. Phys., vol. 8, p. 37, 2020, https://doi.org/10.3389/fphy.2020.00037.Search in Google Scholar
[2] F. Bonaccorso, Z. Sun, T. Hasan, and A. C. Ferrari, “Graphene photonics and optoelectronics,” Nat. Photon., vol. 4, no. 9, pp. 611–622, 2010. https://doi.org/10.1038/nphoton.2010.186.Search in Google Scholar
[3] J. Wang, X. Mu, M. Sun, and T. Mu, “Optoelectronic properties and applications of graphene-based hybrid nanomaterials and van der waals heterostructures,” Appl. Mater. Today, vol. 16, pp. 1–20, 2019, https://doi.org/10.1016/j.apmt.2019.03.006.Search in Google Scholar
[4] S. Wang, et al.., “Gate-tunable plasmons in mixed-dimensional van der waals heterostructures,” Nat. Commun., vol. 12, no. 1, p. 5039, 2021. https://doi.org/10.1038/s41467-021-25269-0.Search in Google Scholar PubMed PubMed Central
[5] L. Ju, et al.., “Graphene plasmonics for tunable terahertz metamaterials,” Nat. Nanotechnol., vol. 6, no. 10, pp. 630–634, 2011. https://doi.org/10.1038/nnano.2011.146.Search in Google Scholar PubMed
[6] S. Huang, C. Song, G. Zhang, and H. Yan, “Graphene plasmonics: physics and potential applications,” Nanophotonics, vol. 6, no. 6, pp. 1191–1204, 2016. https://doi.org/10.1515/nanoph-2016-0126.Search in Google Scholar
[7] F. H. L Koppens, T Mueller, P. Avouris, A. C. Ferrari, M. S Vitiello, and M Polini, “Photodetectors based on graphene, other two-dimensional materials and hybrid systems,” Nat. Nanotechnol., vol. 9, no. 10, pp. 780–793, 2014. https://doi.org/10.1038/nnano.2014.215.Search in Google Scholar PubMed
[8] H. Hu, et al.., “Gas identification with graphene plasmons,” Nat. Commun., vol. 10, no. 1, p. 1131, 2019. https://doi.org/10.1038/s41467-019-09008-0.Search in Google Scholar PubMed PubMed Central
[9] M. Polini, “Tuning terahertz lasers via graphene plasmons,” Science, vol. 351, no. 6270, pp. 229–231, 2016. https://doi.org/10.1126/science.aad7995.Search in Google Scholar PubMed
[10] Z. Fei, et al.., “Infrared nanoscopy of Dirac plasmons at the graphene–sio2 interface,” Nano Lett., vol. 11, no. 11, pp. 4701–4705, 2011. https://doi.org/10.1021/nl202362d.Search in Google Scholar PubMed
[11] Z Fei, et al.., “Edge and surface plasmons in graphene nanoribbons,” Nano Lett., vol. 15, no. 12, pp. 8271–8276, 2015. https://doi.org/10.1021/acs.nanolett.5b03834.Search in Google Scholar PubMed
[12] H. Yan, et al.., “Damping pathways of mid-infrared plasmons in graphene nanostructures,” Nat. Photonics, vol. 7, no. 5, pp. 394–399, 2013. https://doi.org/10.1038/nphoton.2013.57.Search in Google Scholar
[13] T. Low, et al.., “Polaritons in layered two-dimensional materials,” Nat. Mater., vol. 16, no. 2, pp. 182–194, 2017. https://doi.org/10.1038/nmat4792.Search in Google Scholar PubMed
[14] M. Klein, et al.., “Slow light in a 2d semiconductor plasmonic structure,” Nat. Commun., vol. 13, no. 1, p. 6216, 2022. https://doi.org/10.1038/s41467-022-33965-8.Search in Google Scholar PubMed PubMed Central
[15] S. G Menabde, J. T. Heiden, J. D Cox, N. A. Mortensen, and M. S. Jang, “Image polaritons in van der waals crystals,” Nanophotonics, vol. 11, no. 11, pp. 2433–2452, 2022. https://doi.org/10.1515/nanoph-2021-0693.Search in Google Scholar
[16] K. S. Novoselov, A. Mishchenko, O. A Carvalho, and A. H. C. Neto, “2d materials and van der waals heterostructures,” Science, vol. 353, no. 6298, p. aac9439, 2016. https://doi.org/10.1126/science.aac9439.Search in Google Scholar PubMed
[17] D. N Basov, M. M Fogler, and F. J García de Abajo, “Polaritons in van der waals materials,” Science, vol. 354, no. 6309, p. aag1992, 2016. https://doi.org/10.1126/science.aag1992.Search in Google Scholar PubMed
[18] Y. Jia, H. Zhao, Q. Guo, X. Wang, H. Wang, and F. Xia, “Tunable plasmon–phonon polaritons in layered graphene–hexagonal boron nitride heterostructures,” ACS Photonics, vol. 2, no. 7, pp. 907–912, 2015. https://doi.org/10.1021/acsphotonics.5b00099.Search in Google Scholar
[19] L. Marušić and V. Despoja, “Prediction of measurable two-dimensional plasmons in li-intercalated graphene lic 2,” Phys. Rev. B, vol. 95, no. 20, p. 201408, 2017. https://doi.org/10.1103/physrevb.95.201408.Search in Google Scholar
[20] V. Despoja, T. Djordjević, L. Karbunar, I. Radović, and Z. L Mišković, “Ab initio study of the electron energy loss function in a graphene-sapphire-graphene composite system,” Phys. Rev. B, vol. 96, no. 7, p. 075433, 2017. https://doi.org/10.1103/physrevb.96.075433.Search in Google Scholar
[21] V. Despoja and L. Marušić, “Uv-active plasmons in alkali and alkaline-earth intercalated graphene,” Phys. Rev. B, vol. 97, no. 20, p. 205426, 2018. https://doi.org/10.1103/physrevb.97.205426.Search in Google Scholar
[22] M. Jablan, H. Buljan, and M. Soljačić, “Plasmonics in graphene at infrared frequencies,” Phys. Rev. B, vol. 80, no. 24, p. 245435, 2009. https://doi.org/10.1103/physrevb.80.245435.Search in Google Scholar
[23] M. Jablan, M. Soljačić, and H. Buljan, “Effects of screening on the optical absorption in graphene and in metallic monolayers,” Phys. Rev. B, vol. 89, no. 8, p. 085415, 2014. https://doi.org/10.1103/physrevb.89.085415.Search in Google Scholar
[24] D. Novko, “Dopant-induced plasmon decay in graphene,” Nano Lett., vol. 17, no. 11, pp. 6991–6996, 2017. https://doi.org/10.1021/acs.nanolett.7b03553.Search in Google Scholar PubMed
[25] E. J. C. Dias and F Javier Garcia de Abajo, “Fundamental limits to the coupling between light and 2d polaritons by small scatterers,” ACS Nano, vol. 13, no. 5, pp. 5184–5197, 2019. https://doi.org/10.1021/acsnano.8b09283.Search in Google Scholar PubMed
[26] J. Jakovac, L. Marušić, D. Andrade-Guevara, J. C. Chacón-Torres, and V. Despoja, “Infra-red active Dirac plasmon serie in potassium doped-graphene (kc8) nanoribbons array on al2o3 substrate,” Materials, vol. 14, no. 15, p. 4256, 2021. https://doi.org/10.3390/ma14154256.Search in Google Scholar PubMed PubMed Central
[27] Z. Fei, et al.., “Gate-tuning of graphene plasmons revealed by infrared nano-imaging,” Nature, vol. 487, no. 7405, pp. 82–85, 2012. https://doi.org/10.1038/nature11253.Search in Google Scholar PubMed
[28] D. Novko, M. Šunjić, and V. Despoja, “Optical absorption and conductivity in quasi-two-dimensional crystals from first principles: application to graphene,” Phys. Rev. B, vol. 93, no. 12, p. 125413, 2016. https://doi.org/10.1103/physrevb.93.125413.Search in Google Scholar
[29] D. Novko, K. Lyon, D. J. Mowbray, and V. Despoja, “Ab initio study of electromagnetic modes in two-dimensional semiconductors: application to doped phosphorene,” Phys. Rev. B, vol. 104, no. 11, p. 115421, 2021. https://doi.org/10.1103/physrevb.104.115421.Search in Google Scholar
[30] V. Despoja and D. Novko, “Transition from weak to strong light-molecule coupling: application to fullerene c 60 multilayers in metallic cavity,” Phys. Rev. B, vol. 106, no. 20, p. 205401, 2022. https://doi.org/10.1103/physrevb.106.205401.Search in Google Scholar
[31] V. Despoja and L. Marušić, “Prediction of strong transversal s(te) exciton; polaritons in c60 thin crystalline films,” Int. J. Mol. Sci., vol. 23, no. 13, p. 6943, 2022. https://doi.org/10.3390/ijms23136943.Search in Google Scholar PubMed PubMed Central
[32] C. Hu, et al.., “Direct imaging of interlayer-coupled symmetric and antisymmetric plasmon modes in graphene/hbn/graphene heterostructures,” Nanoscale, vol. 13, no. 35, pp. 14628–14635, 2021. https://doi.org/10.1039/d1nr03210k.Search in Google Scholar PubMed
[33] V. Despoja, M. Šunjić, and L. Marušić, “Propagators and spectra of surface polaritons in metallic slabs: effects of quantum-mechanical nonlocality,” Phys. Rev. B, vol. 80, no. 7, p. 075410, 2009. https://doi.org/10.1103/physrevb.80.075410.Search in Google Scholar
[34] M. S Tomaš, “Green function for multilayers: light scattering in planar cavities,” Phys. Rev. A, vol. 51, no. 3, p. 2545, 1995. https://doi.org/10.1103/physreva.51.2545.Search in Google Scholar PubMed
[35] F. H. L Koppens, D. E Chang, and F Javier García de Abajo, “Graphene plasmonics: a platform for strong light–matter interactions,” Nano Lett., vol. 11, no. 8, pp. 3370–3377, 2011. https://doi.org/10.1021/nl201771h.Search in Google Scholar PubMed
[36] I. Kupčić, “Damping effects in doped graphene: the relaxation-time approximation,” Phys. Rev. B, vol. 90, no. 20, p. 205426, 2014. https://doi.org/10.1103/physrevb.90.205426.Search in Google Scholar
[37] Supplementary materials for Optically driven plasmons in graphene/hBN van der Waals heterostructures: simulating s-SNOM measurements, 2024, https://doi.org/10.1515/nanoph-2023-0841.Search in Google Scholar
[38] V. Despoja, L. Basioli, J. Sancho Parramon, and M. Mičetić, “Optical absorption in array of ge/al-shell nanoparticles in an alumina matrix,” Sci. Rep., vol. 10, no. 1, p. 65, 2020. https://doi.org/10.1038/s41598-019-56673-8.Search in Google Scholar PubMed PubMed Central
[39] Z. Rukelj, A. Štrkalj, and V. Despoja, “Optical absorption and transmission in a molybdenum disulfide monolayer,” Phys. Rev. B, vol. 94, no. 11, p. 115428, 2016. https://doi.org/10.1103/physrevb.94.115428.Search in Google Scholar
[40] P. Giannozzi, et al.., “Quantum espresso: a modular and open-source software project for quantum simulations of materials,” J. Phys.: Condens. Matter, vol. 21, no. 39, p. 395502, 2009. https://doi.org/10.1088/0953-8984/21/39/395502.Search in Google Scholar PubMed
[41] P. Giannozzi, et al.., “Advanced capabilities for materials modelling with quantum espresso,” J. Phys.: Condens. Matter, vol. 29, no. 46, p. 465901, 2017. https://doi.org/10.1088/1361-648x/aa8f79.Search in Google Scholar PubMed
[42] P. Giannozzi, et al.., “Quantum espresso toward the exascale,” J. Chem. Phys., vol. 152, no. 15, p. 154105, 2020. https://doi.org/10.1063/5.0005082.Search in Google Scholar PubMed
[43] N. Troullier and J. L. Martins, “Efficient pseudopotentials for plane-wave calculations,” Phys. Rev. B, vol. 43, no. 3, p. 1993, 1991. https://doi.org/10.1103/physrevb.43.1993.Search in Google Scholar PubMed
[44] D. R Hamann, “Optimized norm-conserving vanderbilt pseudopotentials,” Phys. Rev. B, vol. 88, no. 8, p. 085117, 2013. https://doi.org/10.1103/physrevb.88.085117.Search in Google Scholar
[45] J. P. Perdew, K. Burke, and M. Ernzerhof, “Generalized gradient approximation made simple,” Phys. Rev. Lett., vol. 77, no. 18, p. 3865, 1996. https://doi.org/10.1103/physrevlett.77.3865.Search in Google Scholar
[46] H. J Monkhorst and J. D Pack, “Special points for brillouin-zone integrations,” Phys. Rev. B, vol. 13, no. 12, p. 5188, 1976. https://doi.org/10.1103/physrevb.13.5188.Search in Google Scholar
[47] D. Novko and V. Despoja, “Cavity exciton polaritons in two-dimensional semiconductors from first principles,” Phys. Rev. Res., vol. 3, no. 3, p. L032056, 2021. https://doi.org/10.1103/physrevresearch.3.l032056.Search in Google Scholar
[48] P. B Johnson and R.-W Christy, “Optical constants of the noble metals,” Phys. Rev. B, vol. 6, no. 12, p. 4370, 1972. https://doi.org/10.1103/physrevb.6.4370.Search in Google Scholar
[49] K. Berland and P. Hyldgaard, “Exchange functional that tests the robustness of the plasmon description of the van der Waals density functional,” Phys. Rev. B, vol. 89, no. 3, p. 035412, 2014. https://doi.org/10.1103/physrevb.89.035412.Search in Google Scholar
[50] E. H Hwang and S. D. Sarma, “Dielectric function, screening, and plasmons in two-dimensional graphene,” Phys. Rev. B, vol. 75, no. 20, p. 205418, 2007. https://doi.org/10.1103/physrevb.75.205418.Search in Google Scholar
[51] J. María Pitarke, V. U Nazarov, V. M Silkin, E. V Chulkov, E Zaremba, and P. M Echenique, “Theory of acoustic surface plasmons,” Phys. Rev. B, vol. 70, no. 20, p. 205403, 2004. https://doi.org/10.1103/physrevb.70.205403.Search in Google Scholar
[52] M Pisarra, A. Sindona, P. Riccardi, V. M Silkin, and J. M. Pitarke, “Acoustic plasmons in extrinsic free-standing graphene,” New J. Phys., vol. 16, no. 8, p. 083003, 2014. https://doi.org/10.1088/1367-2630/16/8/083003.Search in Google Scholar
[53] D. Alcaraz Iranzo, et al.., “Probing the ultimate plasmon confinement limits with a van der waals heterostructure,” Science, vol. 360, no. 6386, pp. 291–295, 2018. https://doi.org/10.1126/science.aar8438.Search in Google Scholar PubMed
[54] E. J. C. Dias, et al.., “Probing nonlocal effects in metals with graphene plasmons,” Phys. Rev. B, vol. 97, no. 24, p. 245405, 2018. https://doi.org/10.1103/physrevb.97.245405.Search in Google Scholar
[55] N. Rivera, T. Christensen, and P. Narang, “Phonon polaritonics in two-dimensional materials,” Nano Lett., vol. 19, no. 4, pp. 2653–2660, 2019. https://doi.org/10.1021/acs.nanolett.9b00518.Search in Google Scholar PubMed
[56] V. W Brar, et al.., “Hybrid surface-phonon-plasmon polariton modes in graphene/monolayer h-bn heterostructures,” Nano Lett., vol. 14, no. 7, pp. 3876–3880, 2014. https://doi.org/10.1021/nl501096s.Search in Google Scholar PubMed
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/nanoph-2023-0841).
© 2024 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.