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Gate voltage and doping effects on near-field radiation heat transfer in plasmonic heterogeneous pairs of graphene and black phosphorene

Desalegn T. Debu*a, M. Hasan Dohaa, Hugh O. H. Churchillab and Joseph B. Herzogac
aDepartment of Physics, University of Arkansas, Fayetteville, Arkansas 72701, USA. E-mail: debudt@udel.edu
bInstitute of Nanoscale Science and Engineering, University of Arkansas, Fayetteville, Arkansas 72701, USA
cR. B. Annis School of Engineering, University of Indianapolis, Indianapolis, IN, USA 46227

Received 22nd June 2019 , Accepted 11th September 2019

First published on 17th September 2019


Abstract

Plasmon coupling and hybridization in 2D materials plays a significant role for controlling light–matter interaction at the nanoscale. We present a near-field radiation heat transfer (NFRHT) between vertically separated graphene and black phosphorene sheets at different temperatures in nanoscale separations. Radiation exchange from the theory of fluctuation electrodynamics is modulated by the carrier density of graphene and phosphorene. Direct comparison of NFRHT black phosphorene–graphene to symmetric graphene–graphene radiation exchange can be as much as 4 times higher for the selected doping range in both armchair (AC) and zigzag (ZZ) orientations of BP. The strong NFRHT enhancement of the specific optical properties of the heterogenous 2D material is due to the strong coupling of propagating surface plasmon polaritons as demonstrated by the distribution of the heat transfer coefficient. We also demonstrate that the magnitude of the near-field radiation enhancement is found to acutely depend on the vacuum gap of the graphene and BP pair. Interestingly, for separation distances below 200 nm, the total near-field heat transfer between black phosphorene and graphene exceeds that between graphene and graphene by 5 times. The radiation enhancement can be further tuned based on the orientation, AC, and ZZ of black phosphorene. These results prominently enable dynamic control of the total NFRHT relying on tunable anisotropic characteristics of BP irrespective of graphene's optical conductivity. Furthermore, the heterogeneous pairs of 2D materials potentially provide alternative platforms to achieve beyond super-Planckian radiation.


Introduction

Near-field radiative heat transfer (NFRHT) between two bodies separated by a distance much smaller than or comparable to the thermal wavelength can break the blackbody (BB) limit.1,2 In-depth understanding of this phenomenon is not only essential for fundamental scientific importance but also offers a wide range of potential applications such thermal nanoimaging,3 near-field thermophotovoltaics,4 and thermal rectifiers.5 The NFRHT enhancement by several orders of magnitude has been widely investigated in materials that support phonon polaritons,6 resonant surface phonon polaritons (SphPs),7 surface plasmon polaritons (SPPs)8 or hyperbolic phonon polariton (HPP) modes9,10 due to evanescent waves. Control of NFRHT has been covered in several structural arrangements and materials;11–17 however, a challenge arises in enhancing NFRHT due to the large number of independent parameters, and more importantly, lack of degree of freedom for active tunability.

In this context, a breakthrough for active tuning mechanics has been effectively achieved in two-dimensional (2D) semiconductors: prominently graphene or MoS2 and, very recently, black phosphorene.18–21 Graphene exhibits highly tunable optical properties via voltage-gating,18,22 good thermal stability,23 and high carrier mobility.18 Moreover, graphene supports strongly confined surface plasmons with a frequency that varies with the wave number.24–26 Theoretically predicted tuning and coupling of surface mode plasmon of a graphene sheet with a nearby body, resulting in a significant increase of the NFRHT,27–30 has been confirmed experimentally.31 In addition, the near-field active thermal radiation response of graphene in subwavelength geometries, graphene ribbon,32,33 periodic nanoribbon,34 or nanodisks35–37 has demonstrated enhanced radiation. Most recently, Black phosphorus (BP) is also reported to have a layer dependent tunable direct bandgap,38 thermal stability,39 high carrier mobility,20,21 and remarkable in-plane anisotropic electrical and optical properties.40 In contrast to graphene, BP shows polarization dependency in the anisotropic surface plasmon response due to an order of magnitude difference in the in-plane effective electron masses along the two crystal axes results.41,42 These plasmon properties allow for the realization of novel 2D polarization dependent and tunable NFRHT.33,43–45 Another interesting approach to study is the NFRHT between heterogenous 2D material, shown to be possible using a graphene sheet and a MoS2 sheet.46 However, both graphene and MoS2 are nearly isotropic materials. This makes the graphene and MoS2 orientation indiscriminate in light matter interaction. Recently, the NFRHT of the graphene (GR) heterogenous (GR–BP) in contact with bulk substrate SiC has shown anisotropic effects in near field radiation heat transfer.47 However, SiC supports hyperbolic phonon polariton modes in the midinfrared range. In hybrid structures composed of 2D material, graphene/SiC or BP/SiC, SPPs can couple with hyperbolic phonon polariton.47 The hybrid modes move from the substrate and introduce a change in the propagation, and evanescent waves either greatly improve or reduce the NFRHT by creating a new channel. Therefore, it is important to understand the NFRHT and tuning capability graphene and BP heterogeneous system without dispersive hyperbolic layer.

Through numerical and analytic solutions based on the transfer matrix method combined with fluctuation electrodynamics,48 the near-field radiation transfers energy between the BP and the graphene, which are compared to two identical suspended graphene sheets by analysing the distribution of the heat transfer coefficient of the emitter and the receiver 2D layers. The NFRHT model shows that BP–GR has a more selective optical modulation compared to the graphene–graphene system. Furthermore, the NFRHT differences between these two systems are explored, considering the inherent BP optical anisotropy nature. The effect of the reorientation of BP is found to be significant in modulating the NFRHT, perhaps creating possible conditions roughly equivalent to or greater than graphene. The hybrid modes, which evolve from low to high parallel wave vectors in the infrared range, controlled by graphene and BP optical parameters determine the tunnelling probability. We also discuss the total radiation, enhancement in the 2D structure relative to the value of separation distance, offering potential routes toward passive or active control of NFRHT. In particular, we examined the ratio of total heat transfer of BP–GR and GR–GR, and its dependence on the anisotropy, doping, and spacing.

Theoretical model

Optical properties of graphene and black phosphorene

The optical conductivity in graphene, σg(ω), is modelled with a 2D sheet conductivity that includes the contribution of an intraband transition term σD (i.e., Drude), and interband transitions term, σI, where σg(ω) = σD(ω) + σI(ω).49
 
image file: c9ra04695j-t1.tif(1)
and
 
image file: c9ra04695j-t2.tif(2)
where G(x) = sinh[x/kBT]/[cosh(μ/kBT) + cosh(x/kBT)], e is the electron charge, is the reduced Planck constant, kB is the Boltzmann constant, μ is the chemical potential, T is temperature, ω is the angular frequency, and τ is the relaxation scattering time, which we have fixed to the value τ = 10−13 s.50

The anisotropic layer dependent surface conductivity, σjj, of BP is given by a simple semiclassical Drude model in the infrared regime,40

 
image file: c9ra04695j-t3.tif(3)
where j represents AC and ZZ-direction η describes the relaxation rate and is chosen to be 10 meV40 which is within the range obtained from ab-simulation51 and Di = πne2/mj is the anisotropic Drude weight, n is the electron doping, and mj represents the layer dependent effective mass of electrons along the j, (AC or ZZ) direction. In this work we use monolayer BP with arm-chair, mx = 0.15m0, and zigzag, my = 0.7m0, direction masses, where m0 is the free electron mass.40

Near-field radiation heat transfer

Before setting the model of radiation heat transfer, we examined the light–matter interaction for the suspended isotropic 2D materials. As shown in Fig. 1, each two-dimensional layer material is represented by the conductivity tensor σij, consisting of transverse conductivities, longitudinal conductivities, and crossed conductivity components, which lies in the xy-plane. We obtain the Fresnel coefficients solving Maxwell's electromagnetic equation imposing the appropriate electromagnetic field boundary condition and representing the 2D conducting sheet surface current (Js) from Ohm's law. We assume that the electric field Ei in medium i, and Ej in medium j, i and j indicated medium above and below the 2D layer, with dielectric permittivity εi = εj = 1.0. The corresponding magnetic field components, Hi and Hj, can be found using Maxwell's equation. The boundary conditions of the parallel and perpendicular gives [n with combining circumflex] × (EiEj) = 0, [n with combining circumflex] × (HiHj) = Js. The unit vector normal to the 2D layer is [n with combining circumflex] = −, and Js = σijE. Solving the boundary conditions, the Fresnel coefficients of reflection for s, p and the cross-polarization term expressions are52,53
 
image file: c9ra04695j-t4.tif(4)
 
image file: c9ra04695j-t5.tif(5)
 
image file: c9ra04695j-t6.tif(6)
where i and j are the mediums that encapsulate graphene or BP. rppij, rssij and rspij are the Fresnel coefficients between the medium i and j for s, p and the mixture sp polarization. The z-component wavevector for s and p-polarization along each region is image file: c9ra04695j-t7.tif, image file: c9ra04695j-t8.tif, and ε0 is the vacuum permittivity, μ0 is the vacuum permeability and β is the wave vector parallel to the surfaces of the 2D layers. This work studies BP AC orientation aligned with x-direction and ZZ along y-axis and vice versa. The incident polarization direction is collinear to one of the principal BP directions so that the crossed conductivity effect, σxy = 0, results in the cross-polarization rps = 0. A similar method has been followed recently by Xiao-Jie Yi et al.47 A rotated BP from the optical axis does change the momentum vector of along x and y and hence the expression of the reflection spectra.54

image file: c9ra04695j-f1.tif
Fig. 1 Schematic illustration of the emitter and receiver with temperatures TE (hot) and TR (cold) 2D material. The vacuum gap distance, d, and optical conductivity, σ, of the graphene sheet and the black phosphorene sheet are labeled. (a) Graphene sheet emitter (E) and black phosphorene sheet receiver (R), and (b) graphene sheet emitter and graphene sheet receiver.

Now the NFRHT initiated by the coupling of the propagating surface modes meditated between the thermally hot (TE) and the thermally cold (TR) surfaces can be formulated following the framework of fluctuational electrodynamics as:55

 
image file: c9ra04695j-t9.tif(7)
where q(ω) is the net spectral heat flux, Θ(ω,T) = ωℏ/(exp(ωℏ/kBT) − 1)is the average energy of Planck's oscillator, and ξs(p)(ω,β) is the energy transmission coefficient that depends on the frequency and wave vector corresponding to s(p)-polarization of light. The energy transmission coefficient considering polarization coupling and contribution of evanescent modes, β > k0, and propagating modes, β < k0, is given by56
 
image file: c9ra04695j-t10.tif(8)
where j stands for either s or p polarization, 01 and 12 respectively denote the receiver and emitter medium reflection, k0z is the normal wavevector component in vacuum of BP and graphene, Im() takes the imaginary part of a complex quantity, and d is the distance of the vacuum gap.

Throughout the paper, we consider the configuration in Fig. 1, where two 2D bodies with conductivity labelled as σjj,E or σE (emitter) and σR (receiver), respectively, are brought into proximity with a vacuum gap separation d. The temperatures of the emitter and the receiver are labeled TE = 300 K and TR = 290 K, (TE > TR), respectively. We represent gate modulation or applied voltage bias effect in terms of changing the carrier density n, of graphene and BP. This indirect relation of gate-modulation of BP and graphene can be controlled independently leading to more degrees of freedom. The carrier density potential of graphene can be described also in terms of chemical potential, ng = μ2/(ℏvf)2π, where vF = 106 ms−1 is the Fermi velocity. The values of ng used in this work ranges from 0.74 × 1012 cm−2 to 4.7 × 1013 cm−2, with an equivalent range of μ = 0.1 eV to 0.9 eV, and nb = 2.0 × 1012 cm−2 to 9.0 × 1013 cm−2 in order to get optimum NFRHT.

Results and discussion

Doping and gate modulation effect

First, we consider the scenario in Fig. 2a–c, BP emitter (BPE) at temperature of 300 K and graphene receiver (GRR) at 290 K with the AC direction of BP aligned with x-direction and ZZ is in the y-direction. The separation distance d between graphene and BP is 10 nm. The figure shows the spectral heat flux (SHF) calculated from eqn (7) as a function of wavelength for GR low doped ng = 0.74 × 1012 cm−2, 6.6 × 1012 cm−2 and high doped 2.65 × 1013 cm−2, which corresponds to a chemical potential of μ = 0.1 eV, 0.3 and 0.6 eV, respectively, and BP varying the doping-level, nb = 0.5 × 1013 cm−2, 1.0 × 1013 cm−2, 5.0 × 1012 cm−2.
image file: c9ra04695j-f2.tif
Fig. 2 Spectral heat flux between suspended graphene sheet receiver (GRR), at TR = 290 K, and black phosphorene sheet emitter (BPE) armchair (AC) direction along x-axis orientation, TE = 300 K, separation distance, d = 10 nm, electron carrier density nb = {5.0 × 1012 cm−2, 1.0 × 1013 cm−2, 5.0 × 1013 cm−2}, and carrier density of graphene (a) ng = 0.74 × 1012 cm−2, (b) 6.6 × 1012 cm−2 and (c) 2.65 × 1013 cm−2. Blue dash line in all the figure is flux between two suspended graphene sheets at identical carrier density (a) ngE = ngR = ng = 0.74 × 1012 cm−2, (b) 6.6 × 1012 cm−2 and (c) 2.65 × 1013 cm−2.

In all figures of Fig. 2a–c for comparison, we also included spectral heat flux (SHF) results calculated between two graphene sheets, graphene emitter (GRE)-graphene receiver (GRR) (blue broken line labelled as GG), see Fig. 1b. The same temperatures are used in all cases: TE = 300 K and TR = 290 K. We selected identical gate voltage for the emitter and receiver graphene, ngE = ngR = ng since the latter case shows strong spectral heat flux.38 Therefore, low gate modulated NFRHT between identical graphene shows enhanced radiative energy transport than between low and highly gate modulated graphene. Further support of this conclusion is provided in the ESI Fig. 1 (a) and (b). As seen in Fig. 2a, b and c, the SHF of identical graphene has higher ng = 0.74 × 1012 cm−2 and decreases more than ten times when the doping is 2.65 × 1013 cm−2. In addition, at higher graphene carrier density, ng = 2.65 × 1013 cm−2, SRH becomes broader due to weakening of interband effect.27,29,38 In the case of BPE–GRR, increasing number density nb from 0.2 × 1013 cm−2 to 5.0 × 1013 cm−2 has a dramatic effect on the SHF at low carrier density, ng = 0.74 × 1012 cm−2, Fig. 2a. The SHF peaks decrease gradually with the increase of number density by more than an order of magnitude. In addition, the SHF is broadening gradually increases and the peak value shifts slightly to a higher wavelength with increasing n. Compared to BPE–GRR for all ng and nb, GRE–GRR is higher than BPE–GRR at ng = 2.65 × 1013 cm−2. The role of the dependency of ng and nb on the SHF is further evaluated for 6.6 × 1012 cm−2 and 2.65 × 1013 cm−2, Fig. 2b and c. On the contrary, for ng = 4 × 1012 cm−2 SHF for BPE–GRR is higher than the that of GRE–GRR from moderate to high doping, Fig. 2b, and for all doping level of BP, Fig. 2c. More specifically, for ng = 6.6 × 1012 cm−2 the SHF of BPE–GRR is smaller than GRE–GRR and larger by a factor of two for nb = 5.0 × 1012 cm−2 and 5.0 × 1013 cm−2. This indicates in BPE–GRR there is a critical nb value between 5.0 × 1012 cm−2 and 1.0 × 1013 cm−2 making the transition of enhanced SHF than GRE–GRR, in Fig. 2b. For highly gated graphene, ng = 2.65 × 1013 cm−2, we observe that BPE–GRR 2D system outperforms identical graphene sheets, within the whole range of nb, having two times higher SHF for ng = 1.0 × 1013 cm−2 and 5.0 × 1013 cm−2.

So far, we have discussed the case of doping effect of BPE–GRR in AC orientation. However, besides electrostatic tuning of graphene and BP, effective mass of BP is readily different in the AC and ZZ direction, as shown in the optical conductivity eqn (2). In what follows, we rotate the BP arrangement as such the ZZ direction is along the x-axis and AC direction is along the y-axis. For this purpose, we show in Fig. 3 the dependence of the SHF (all parameters are same as in Fig. 2). The change in the orientation of the BP strongly modulates the height of the NFRHT spectra by the maximum peak energy and slightly changes the peak position. For example in Fig. 3a, the intermediate doping number density, when nb is close to 1.0 × 1013 cm−2 for ng = 0.74 × 1012 cm−2, reaches a minimum or a comparable density to GRE–GRR system. In the ZZ direction the SHF can be tuned by a factor of 2 to 4 between nb = 0.5 × 1013 cm−2 and nb = 1.0 × 1013 cm−2.


image file: c9ra04695j-f3.tif
Fig. 3 Spectral heat flux between suspended GRE–GRR and BPE–GRR, at TE = 300 K, and black phosphorene sheet zigzag (ZZ) direction along x-axis orientation, TR = 290 K, separation distance, d = 10 nm, electron carrier density nb = 5.0 × 1012 cm−2, 1.0 × 1013 cm−2, 5.0 × 1013 cm−2, and blue dash line in all the figures is between two suspended graphene sheets at identical optical property ng = 0.74 × 1012 cm−2 (a), ng = 6.6 × 1012 cm−2 (b), and ng = 2.65 × 1013 cm−2 (c).

Noticeably at higher doping and lower doping, the SHF falls well below the GRE–GRR system. However, at both lower and higher doping levels, the NFRHT spectra of the BPE–GRR system does not reach the GRE–GRR value at 0.74 × 1012 cm−2, a consistent result of AC orientation (Fig. 2a). Likewise, as in the AC orientation case, the NFRHT of BPE–GRR is greater than the GRE–GRR system when ng = 6.6 × 1012 cm−2 and ng = 2.65 × 1013 cm−2 (Fig. 3a and b). To be more precise, when the doping level is bellow nb = 0.5 × 1013 cm−2 we obtain a result less than the BPE–GRR, not shown in the figure. However, different from Fig. 3a, when ng = 6.6 × 1012 cm−2 and ng = 2.65 × 1013 cm−2, the SHF gradual spectra broadening and amplitude increase is also noticeable in the BPE–GRR system with an increase in n. This is due to the weakening of the interband loss in graphene. Both results in Fig. 2 and 3 indicate that irrespective of orientation and doping level of BP, the GRE–GRR system leads to higher radiation transfer than the BPE–GRR system for a small applied bias on the graphene. The gate modulation of graphene, anisotropic mass effect and the carrier density of the BP, manifests itself through the variations in the radiation transfer response in the heterogeneous 2D material.

To explain the different phenomena observed in Fig. 2 and 3, we consider the heat transmission coefficient ξ(ω,β) in eqn (8), between BP and GR heterogenous system. Fig. 4 presents a contour plot of the evolution of the heat transition/photon transmission probability, or energy transmission coefficient distributions ξ(ω,β) of the BPE–GRR system, similar to the case in Fig. 2. These transmission coefficient results are for nb = 0.5 × 1013 cm−2, 1.0 × 1013 cm−2 and 5.0 × 1013 cm−2 and ng = 0.74 × 1012 cm−2 and 6.6 × 1012 cm−2 at separation distance, d = 10 nm.


image file: c9ra04695j-f4.tif
Fig. 4 Color map of photon transmission probability (ξ) between suspended BP emitter and graphene sheet receiver (G), and black phosphorene sheet (B) emitter arm chair (AC) direction along x-axis orientation separation distance, d = 10 nm, electron density of graphene, ng = 0.74 × 1012 cm−2, and BP, nb, (a) 5.0 × 1012 cm−2, (b) 1.0 × 1013 cm−2, (c) 5.0 × 1013 cm−2, respectively and ng = 6.6 × 1012 cm−2, and BP, nb, (d) 5.0 × 1012 cm−2, (e) 1.0 × 1013 cm−2, (f) 5.0 × 1013 cm−2, respectively.

The contours show two bright bands covering a wide range of frequencies and momentum. These bright bands correspond to the symmetric (lower frequencies) and anti-symmetric (higher frequencies) branches of the coupled SPPs between 2D materials.27,28 Here one mode is originated from the BPE side and a second from the GRR; they are labelled SPB and SPG, respectively. The band are characteristics reflections of the SPPs dispersion band and an indication of electromagnetic coupling process of BP and graphene. The strength of the two bright band colors indicates a high transmission coefficient and the coupling strength of the SPPs of black phosphorene and graphene. Therefore, they are the major contributors to the SHF between black phosphorene and graphene. In Fig. 4a, we observe strong nearly overlapping and small separation of the bright band transition probability for nb = 0.5 × 1013 cm−2 and for ng = 0.74 × 1012 cm−2. The upper branch is BP like, and lower branch is graphene like. Short momentum and frequency spanning in the lower branch are due to the interband transition damping, specifically at energies ħω < 2μ.26,28,34

However, strongly overlapping bright bands are produced for low doping BP and graphene, resulting in overall a higher NFRHT, Fig. 3a. The two resonances branches show a progressive shift and move further apart, especially for a large nb, indicating mismatch between the hybrid SPPs modes of the BP emitter and the graphene receiver, Fig. 4b and c. The motions toward a lower wave vector result in a decrease in transmission and the NFRHT, Fig. 2b and c, due to weak coupling. In case of ng = 6.6 × 1012 cm−2, Fig. 4d–f, both branches cover a large frequency range as the interband damping effect of graphene weakens. However, progressive increase of nb similarly increases movement of the bright band and shifts towards higher ω and a lower β. The rise in strong offsets of the branches lead to the overall reduction of the NFRHT observed at a large ng (Fig. 2b–c) and ESI Fig. 3.

In order to understand the significance of anisotropy effects in the photon transmission and near-field radiation heat transfer, we look in detail at Fig. 5, where BP ZZ-direction is aligned in x and AC is aligned in the y-direction, having the same parameters as in Fig. 4. Similar to the hybridization effect of the surface plasmons of a BP–GR discussed above, two bright bands are observed. As expected, the effective mass difference has a strong influence on the heat transmission. On the one hand, the greater effective mass of electrons in ZZ direction results in energies of the bright bands that extends into longer momentum vector, hence extremely confined modes of SPPs. On the other hand, the momentum vector can be highly damped, spanning a smaller energy range. For example, when ng = 0.74 × 1012 cm−2 and nb = 5.0 × 1012 cm−2 or 1.0 × 1013 cm−2, with increasing β, we observe that the upper bright band and the lower bright band span lower frequency ranges (Fig. 4a and b). In this case the hybrid modes upper branch is graphene like, and lower branch is BP like. For larger β, this gap narrows because of the bending of the upper band as interband transitions comes into play. The maximum hybridization for ng = 0.74 × 1012 cm−2 and nb = 1.0 × 1013 cm−2, Fig. 4b, results in a noticeable illustration of the physical origins of higher SHF peaks observed in Fig. 3a. On the other hand, SHF decreases when nb increases to 5.0 × 1013 cm−2. Since the top branch band that is BP like spans most of the frequency range, the lower bright band that is graphene like stays in a small frequency range with decreased β. In graphene, the carrier density is ng = 6.6 × 1012 cm−2, Fig. 5c–e, top branch extends covering most of the frequency range, so interband transitions of graphene are negligible. The lower branch covers a small frequency range with strong confinement for nb = 5.0 × 1012 cm−2 and 1.0 × 1013 cm−2 moving to close to GR branch. The bright modes supported by BP for nb = 5.0 × 1013 cm−2 move closer to GR and the heat transmission increases significantly. Although the bands do not reach a point of overlap, in contrast to lower number density, there is an indication for the origin of maximum NFRHT in Fig. 4c. This also consistent for ng = 2.65 × 1013 cm−2 as shown in ESI Fig. 3. The large range of ω covered in the heat transmission factor of the AC direction in BP clearly demonstrate the broad NFRHT as compared to ZZ oriented BP and preferable enhancement in the heterogeneous 2D, this is also further supported in the transmission probability description for highly doped graphene, see ESI Fig. 3.


image file: c9ra04695j-f5.tif
Fig. 5 Color map of photon transmission probability (ξ) between suspended BP emitter and graphene sheet receiver (G), and black phosphorene sheet (B) receiver zigzag (ZZ) direction along x-axis orientation separation distance, d = 10 nm, electron density of graphene, ng = 0.74 × 1012 cm−2, and BP, nb, (a) 5.0 × 1013 cm−2, (b) 1.0 × 1013 cm−2, (c) 5.0 × 1013 cm−2, respectively and ng = 6.6 × 1012 cm−2, and BP, nb, (d) 5.0 × 1013 cm−2, (e) 1.0 × 1013 cm−2, (f) 5.0 × 1013 cm−2, respectively.

Distance effect

The strong modulation of the NFRHT between GR and BP is shown to be quite generic, and it appears to be influenced by a wide range of parameters. We test this concept by exploring the total radiation, Q, computed from eqn (7) as a function of μ, n and the gap size, d. We quantify the various parameters significance, first by defining the total heat radiation heat transfer flux ratio, η = Q(ng,nb)GB/Q(ng,ng)GG, as an efficiency factor to gain better insight into the performance of BP and graphene, where Q(ng,nb)GB is the BPE–GRR system total heat flux and Q(ng,ng)GG is the GRE–GRR system total heat flux.

The total heat flux, Q, is computed for a range of BP and graphene carrier densities for extremely narrow separation d = 10 nm, intermediate d = 100 nm, and a larger separation d = 750 nm, which are displayed in Fig. 6a–g for AC orientation and ratio, ZZ orientation system, and graphene–graphene system. As the vacuum gap distance increases from d = 10 nm to d = 500 and 750 nm, the monotonic decrease of both maximum and minimum total heat flux is obvious because of the weaker SPPs coupling at a larger gap distance. In addition, this reduction is a result of weak near-field coupling and short propagation distance of the evanescence field, which decreases the available of plasmonically-activated modes. The heat flux ratio reaches up to the maximum scale 1.5, at d = 10 nm in both AC and ZZ orientation, Fig. 6a and d, respectively. More importantly, η, diminishes for nb of BP and for all ng in AC orientation, while in ZZ orientation of BP leads to a greater η. From this theoretical analysis, we can conclude that BP–GR system shows superiorities compared to GR–GR in designing super Plank radiation heat transfer. As the separation increases further, efficiency of η > 1 is still sustained for the selected doping range, Fig. 6b, c, e and f. For ng from 0.74 × 1012 cm−2 to 4.7 × 1013 cm−2 and nb from 2.0 × 1012 cm−2 to 9.0 × 1013 cm−2, there is a linear bright region that shows efficiency η > 1. Specifically, for ng < 1.18 × 1013 cm−2 and nb above 2.0 × 1012 cm−2 in ZZ orientation and from 0.1 eV to 0.8 eV and BP doping level up to nb = 5.0 × 1012 cm−2 AC orientation. Away from this BP and graphene carrier density range, the ratio is less than 1 irrespective of the BP orientation, which is an undesirable case for NFRHT enhancement of the heterogeneous 2D BP–GR system. However, this theoretical result suggests an alternate solution of realizing enhanced and reduced near-field radiation heat transfer mechanism. In particular, we can freely control the functionality of this heterogeneous system enhancing and reducing heat transfer by changing the orientation of BP and doping of both BP and graphene. Furthermore, our results demonstrate the superiority of this heterogeneous 2D material pair, which give rise to the anisotropic thermal emission by physical reorientation of BP in addition to gate-modulation of graphene and doping of BP.


image file: c9ra04695j-f6.tif
Fig. 6 Shows the heat flux ratio between graphene sheet-BP sheet QGB and graphene–graphene sheet QGG for carrier density of graphene 0.74 × 1012 cm−2 to 5.0 × 1013 cm−2 versus BP carrier density (nb) 2.0 × 1012 cm−2 to 9.0 × 1013 cm−2 vacuum gap distance d 10 nm, 100 nm and 750 nm black phosphorene sheet, receiver AC direction along x-axis orientation for (a, b and c) and ZZ direction along x-axis orientation for d, e and f.

Conclusions

Our work explores NFRHT originated from SPPs assisted photon transmission for a pair coupled graphene and BP heterogeneous 2D materials. We found that the radiation beyond the Plank limit and enhanced photon tunnelling is favourable in a homogenous graphene–graphene system for low-gate modulation (<3.0 × 1012 cm−2). However, in the BPE–GRR system, the NFRHT critical value is significantly enhanced when a gate (>3.0 × 1012 cm−2) is applied to graphene and BP for selective doping. By choosing appropriate parameters of doping level of BP and graphene, a NFRHT 4 times higher can be achieved in BPE–GRR than GRE–GRR. This enhanced NFRHT effect is also realized in the total heat flux BP–GR pairs leading to more than 5 times higher than GR–GR system at d < 100 nm. In addition, by varying the relative orientation of the BP layer, one can switch from amplified NFRHT to reduced or vice versa. The NFRHT in 2D heterogeneous system resulting from preferential orientation would be dependent on the combination of gate-voltage (carrier density). Thus, for a given carrier density of BP and graphene, the heat tunnelling should be adjusted to obtain the desired radiation transfer either enhanced or reduced. We believe that our work contributes to the active pursuit in the field of SPPs supporting hybrid nonidentical 2D structures both made from atomically thin (few layers) materials. This study can further motivate future studies of hybrid surface plasmon induced NFRHT between new discovered anisotropic 2D ReS2 and ReSe2.57,58

Conflicts of interest

The authors declare no conflict of interest.

Acknowledgements

For all of their support, the authors would like to acknowledge the administrative assistance from Paula Prescott in the Physics Department at the University of Arkansas; and Lisa Battiato in the R. B. Annis School of Engineering at the University of Indianapolis. Funding and support was provided to J. B. H and D. T. D. by the University of Arkansas through the Department of Physics, the Fulbright College of Arts and Sciences, and the Office of Research & Innovation. H. C. and H. D. were supported by NSF award number DMR-1848281.

References

  1. C. M. Hargreaves, Phys. Lett. A, 1969, 30, 491–492 CrossRef.
  2. D. Polder and M. Van Hove, Phys. Rev. B, 1971, 4, 3303 CrossRef.
  3. P. Ben-Abdallah and S.-A. Biehs, Phys. Rev. Lett., 2014, 112, 044301 CrossRef PubMed.
  4. K. Park and Z. Zhang, Front. Heat Mass Transfer, 2013, 4, 013001 Search PubMed.
  5. P. Wang and Z. M. Zhang, Nanoscale Microscale Thermophys. Eng., 2013, 17, 337–348 CrossRef.
  6. L. Hu, A. Narayanaswamy, X. Chen and G. Chen, Appl. Phys. Lett., 2008, 92, 133106 CrossRef.
  7. S. Shen, A. Narayanaswamy and G. Chen, Nano Lett., 2009, 9, 2909–2913 CrossRef CAS PubMed.
  8. S. V. Boriskina, J. K. Tong, Y. Huang, J. Zhou, V. Chiloyan and G. Chen, in Photonics, Multidisciplinary Digital Publishing Institute, 2015, vol. 2, pp. 659–683 Search PubMed.
  9. Y. Guo, C. L. Cortes, S. Molesky and Z. Jacob, Appl. Phys. Lett., 2012, 101, 131106 CrossRef.
  10. S.-A. Biehs, M. Tschikin, R. Messina and P. Ben-Abdallah, Appl. Phys. Lett., 2013, 102, 131106 CrossRef.
  11. S. Shen, A. Mavrokefalos, P. Sambegoro and G. Chen, Appl. Phys. Lett., 2012, 100, 233114 CrossRef.
  12. A. Narayanaswamy and G. Chen, Phys. Rev. B, 2008, 77, 075125 CrossRef.
  13. C. Otey and S. Fan, Phys. Rev. B, 2011, 84, 245431 CrossRef.
  14. S.-A. Biehs and P. Ben-Abdallah, Z. Naturforschung A, 2017, 72, 115–127 CAS.
  15. S.-A. Biehs, F. S. Rosa and P. Ben-Abdallah, Appl. Phys. Lett., 2011, 98, 243102 CrossRef.
  16. V. Fernández-Hurtado, F. J. García-Vidal, S. Fan and J. C. Cuevas, Phys. Rev. Lett., 2017, 118, 203901 CrossRef PubMed.
  17. S.-A. Biehs, M. Tschikin and P. Ben-Abdallah, Phys. Rev. Lett., 2012, 109, 104301 CrossRef PubMed.
  18. A. K. Geim and K. S. Novoselov, Nat. Mater., 2007, 6, 183–191 CrossRef CAS PubMed.
  19. F. Wang, Z. Wang, K. Xu, F. Wang, Q. Wang, Y. Huang, L. Yin and J. He, Nano Lett., 2015, 15, 7558–7566 CrossRef CAS PubMed.
  20. Q. H. Wang, K. Kalantar-Zadeh, A. Kis, J. N. Coleman and M. S. Strano, Nat. Nanotechnol., 2012, 7, 699 CrossRef CAS PubMed.
  21. H. O. Churchill and P. Jarillo-Herrero, Nat. Nanotechnol., 2014, 9, 330 CrossRef CAS PubMed.
  22. F. Wang, Y. Zhang, C. Tian, C. Girit, A. Zettl, M. Crommie and Y. R. Shen, science, 2008, 320, 206–209 CrossRef CAS PubMed.
  23. A. A. Balandin, S. Ghosh, W. Bao, I. Calizo, D. Teweldebrhan, F. Miao and C. N. Lau, Nano Lett., 2008, 8, 902–907 CrossRef CAS PubMed.
  24. Z. Fei, G. O. Andreev, W. Bao, L. M. Zhang, A. S. McLeod, C. Wang, M. K. Stewart, Z. Zhao, G. Dominguez and M. Thiemens, Nano Lett., 2011, 11, 4701–4705 CrossRef CAS PubMed.
  25. Z. Fei, A. S. Rodin, G. O. Andreev, W. Bao, A. S. McLeod, M. Wagner, L. M. Zhang, Z. Zhao, M. Thiemens and G. Dominguez, Nature, 2012, 487, 82 CrossRef CAS PubMed.
  26. B. Wang, X. Zhang, X. Yuan and J. Teng, Appl. Phys. Lett., 2012, 100, 131111 CrossRef.
  27. O. Ilic, M. Jablan, J. D. Joannopoulos, I. Celanovic, H. Buljan and M. Soljačić, Phys. Rev. B, 2012, 85, 155422 CrossRef.
  28. G. Yin, J. Yang and Y. Ma, Appl. Phys. Express, 2016, 9, 122001 CrossRef.
  29. H. Iizuka and S. Fan, Phys. Rev. B, 2015, 92, 144307 CrossRef.
  30. Y. Yang and L. Wang, J. Quant. Spectrosc. Radiat. Transfer, 2017, 197, 68–75 CrossRef CAS.
  31. J. Yang, W. Du, Y. Su, Y. Fu, S. Gong, S. He and Y. Ma, Nat. Commun., 2018, 9, 4033 CrossRef PubMed.
  32. O. Ilic, N. H. Thomas, T. Christensen, M. C. Sherrott, M. Soljačić, A. J. Minnich, O. D. Miller and H. A. Atwater, ACS Nano, 2018, 12, 2474–2481 CrossRef CAS PubMed.
  33. V. Fernandez Hurtado, A. I. Fernandez-Dominguez, J. Feist, F. J. Garcia-Vidal and J. C. Cuevas, ACS Photonics, 2018, 8, 3082–3088 CrossRef.
  34. X. L. Liu and Z. M. Zhang, Appl. Phys. Lett., 2015, 107, 143114 CrossRef.
  35. R. Yu, A. Manjavacas and F. J. G. de Abajo, Nat. Commun., 2017, 8, 1–13 CrossRef CAS PubMed.
  36. P. Ben-Abdallah, A. Belarouci, L. Frechette and S.-A. Biehs, Appl. Phys. Lett., 2015, 107, 053109 CrossRef.
  37. F. V. Ramirez, S. Shen and A. J. H. McGaughey, Phys. Rev. B, 2017, 96, 165427 CrossRef.
  38. L. Li, Y. Yu, G. J. Ye, Q. Ge, X. Ou, H. Wu, D. Feng, X. H. Chen and Y. Zhang, Nat. Nanotechnol., 2014, 9, 372 CrossRef CAS PubMed.
  39. L. Viti, J. Hu, D. Coquillat, A. Politano, W. Knap and M. S. Vitiello, Sci. Rep., 2016, 6, 20474 CrossRef CAS PubMed.
  40. T. Low, R. Roldán, H. Wang, F. Xia, P. Avouris, L. M. Moreno and F. Guinea, Phys. Rev. Lett., 2014, 113, 106802 CrossRef PubMed.
  41. D. T. Debu, S. J. Bauman, D. French, H. O. Churchill and J. B. Herzog, Sci. Rep., 2018, 8, 3224 CrossRef PubMed.
  42. V. A. Margulis and E. E. Muryumin, Phys. Rev. B, 2018, 98, 165305 CrossRef CAS.
  43. Y. Zhang, H.-L. Yi and H.-P. Tan, ACS Photonics, 2018, 5, 3739–3747 CrossRef CAS.
  44. L. Ge, Y. Cang, K. Gong, L. Zhou, D. Yu and Y. Luo, AIP Adv., 2018, 8, 085321 CrossRef.
  45. J. Shen, S. Guo, X. Liu, B. Liu, W. Wu and H. He, Appl. Therm. Eng., 2018, 144, 403–410 CrossRef CAS.
  46. J. Peng, G. Zhang and B. Li, Appl. Phys. Lett., 2015, 107, 133108 CrossRef.
  47. X.-J. Yi, X.-J. Hong, K. Shehzad, T.-B. Wang, X.-M. Xu, Q.-H. Liao, T.-B. Yu and N.-H. Liu, Mater. Res. Express, 2018, 6, 025906 CrossRef.
  48. E. A. Vinogradov and I. A. Dorofeev, Phys.-Usp., 2009, 52, 425 CrossRef CAS.
  49. L. A. Falkovsky, in J. Phys.: Conf. Ser., IOP Publishing, 2008, vol. 129, p. 012004 Search PubMed.
  50. M. Jablan, H. Buljan and M. Soljačić, Phys. Rev. B: Condens. Matter Mater. Phys., 2009, 80, 245435 CrossRef.
  51. X. Fan, G. Zhao and S. Wang, J. Phys. D: Appl. Phys., 2018, 51, 155301 CrossRef.
  52. W.-K. Tse and A. H. MacDonald, Phys. Rev. B, 2011, 84, 205327 CrossRef.
  53. W. J. M. Kort-Kamp, B. Amorim, G. Bastos, F. A. Pinheiro, F. S. S. Rosa, N. M. R. Peres and C. Farina, Phys. Rev. B, 2015, 92, 205415 CrossRef.
  54. L. Cai, M. Liu, S. Chen, Y. Liu, W. Shu, H. Luo and S. Wen, Phys. Rev. A, 2017, 95, 013809 CrossRef.
  55. W. Zhang, W. Wu, S. Chen, J. Zhang, X. Ling, W. Shu, H. Luo and S. Wen, Photonics Res., 2018, 6, 511–516 CrossRef CAS.
  56. Z. Zhang, Nano/Microscale Heat Transfer, McGraw-Hill Education, New York, NY, 1st edn, 2007 Search PubMed.
  57. O. B. Aslan, D. A. Chenet, A. M. van der Zande, J. C. Hone and T. F. Heinz, ACS Photonics, 2015, 3, 96–101 CrossRef.
  58. S. Yang, C. Wang, H. Sahin, H. Chen, Y. Li, S.-S. Li, A. Suslu, F. M. Peeters, Q. Liu and J. Li, Nano Lett., 2015, 15, 1660–1666 CrossRef CAS PubMed.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c9ra04695j

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