Epsilon-Near-Zero and Plasmonic Dirac Point by using 2D materials
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1 Epsilon-Near-Zero and Plasmonic Dirac Point by using 2D materials Marios Mattheakis Co-authors: Prof. Efthimios Kaxiras Prof. Costas Valagiannopoulos 5-8 July 2016 NN16, Thessaloniki
2 Graphene as Plasmonic Platform Graphene is an efficient plasmonic platform: More confined plasmons (even more localized EM energy). Ultra sub-wavelength plasmons. Tunability of plasmon frequency via doping. High & low energy plasmons are supported. Longer propagation length. Plasmonic Thickness ξ Hz COMSOL simulation δ =ξ /2 (decay length) 1 2 ξ= (k sp k 20 ε d ) 1 /2 2
3 Periodic structure of 2D metals 2D metallic layers (e.g. graphene) are extended in (y,z) plane and arranged periodically along x. The interlayer distance is called structural period d. Anisotropic uniaxial dielectric as host media ε z =ε y ε x. The 2D layers are characterized by surface conductivity σs. Plasmon and Bloch wavenumbers kz and kx. Study the normal Transverse Magnetic (TM) modes. Looking for the dispersion relation: kz(kx). Due to periodicity the allowable kz(kx) should be arranged in bands.
4 Maxwell Equations (MEs) Assumptions: Monochromatic harmonic in time EM waves. Transverse Magnetic (TM) Polarization. Maxwell Equations read: Transversal Field Longitudinal Field k 0=ω / c & η0 = μ0 / ε 0 are wavenumber and impedance in vacuum. EigenValue Problem: Assuming EM waves propagate along z: Obtain an Eigenvalue problem: The eigenvalue kz is the plasmon wavenumber.
5 Dispersion Relation Periodic BC G G G x=-d x=0 x=d Periodicity: The eigenmodes are Bloch waves and arranged in bands. Graphene carries a surface current: J=σΕz d>ξ: Weak Plasmon Coupling Elliptic Band d=ξ: Critical Plasmon Coupling Two Linear Bands d<ξ: Strong Plasmon Coupling Hyperbolic Band
6 Dispersion Relation Bands Make the choice ξ=d and replace in Dispersion Relation. We have Saddle Point at (k x, k z )=(0, k 0 ε x ) Two Bands coexist Saddle Point + Linear Dispersion = Plasmonic Dirac Point Spatial harmonics travel with the same phase velocity. Non-Dispersive EM wave propagation Linear Dispersion (ξ=d) Elliptical Dispersion (ξ<d) Elliptical Dispersion (ξ<d)
7 Effective Medium Approach Effective Medium (Metamaterial approach) Approximate Dispersion Relation Effective Relative Permittivities Plasmonic Dirac Point Epsilon-Near-Zero
8 PDP Sensitivity PDP is very sensitive to structural defects. 2D materials build planar bulk dielectrics. The extremely high sensitivity makes regular dielectrics impractical 2D media (e.g. MoS2 & hbn) build bulk dielectrics with essentially perfect planarity (atomic scale controllability).
9 Numerical EM Wave Simulations 40 graphene monolayers embedded in MoS2 background (εx=3.5, εz=13). Weak plasmon coupling (ξ<d) Drude model for graphene conductivity. λ0=12 μm (THz regime). 2d magnetic dipole source. PDP (ξ=d) Strong plasmon coupling (ξ>d) Simulations performed with COMSOL
10 General Investigation (maps) Combinations of μc and λ leading to PDP & ENZ (ξ is plotted in nm). A structure with arbitrary d can be fabricated and then with suitable choice of μc and λ we achieve ENZ. The propagation distance L/d of a plasmonic mode for all λ, d and μc combinations leading to ENZ.
11 Effective Permittivity (maps) Effective permittivity for λ & μc combinations and fixed period d=20nm Dashed lines indicate the ENZ regime. Low losses in the ENZ region. Very negative ε achieved but accompanied with high losses.
12 Conclusion Any periodic structure of 2D plasmonic materials (e.g. Graphene) exhibits Plasmonic Dirac Point in (kx,kz) space. Plasmonic Dirac Point leads to Epsilon-Near-Zero media. Systematic method for designing ENZ meta-materials. Extreme sensitivity of PDP on structural imperfection. Dielectrics built by 2D materials (e.g. MoS, hbn) have 2 essentially perfect planarity (atomic scale control). Graphene multilayer in bulk MoS2 or hbn host: Dynamically tunable dispersion by doping and frequency ENZ regime shows relative low losses. Extremely negative (up to ε =-100) relative permittivity. z
13 Collaborators Prof. Efthimios Kaxiras, Harvard University. Prof. Giorgos Tsironis, University of Crete. Prof. Costas Valagiannopoulos, Nazarbayev University. Dr. Sharmila Shirodkar, Harvard University. Thank you... HomePage:
Marios Mattheakis (Matthaiakis)
Marios Mattheakis (Matthaiakis) August, 2017 School of Engineering and Applied Sciences Harvard University Email: mariosmat@g.harvard.edu scholar.harvard.edu/marios matthaiakis Education Postdoctoral in
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