Probing and steering bulk and surface phonon polaritons in uniaxial materials using fast electrons: hexagonal boron nitride
arXiv:2006.05359 · doi:10.1103/PhysRevB.102.115431
Abstract
We theoretically describe how fast electrons couple to polaritonic modes in uniaxial materials by analyzing the electron energy loss (EEL) spectra. We show that in the case of an uniaxial medium with hyperbolic dispersion, bulk and surface modes can be excited by a fast electron traveling through the volume or along an infinite interface between the material and vacuum. Interestingly, and in contrast to the excitations in isotropic materials, bulk modes can be excited by fast electrons traveling outside the uniaxial medium. We demonstrate our findings with the representative uniaxial material hexagonal boron nitride. We show that the excitation of bulk and surface phonon polariton modes is strongly related to the electron velocity and highly dependent on the angle between the electron beam trajectory and the optical axis of the material. Our work provides a systematic study for understanding bulk and surface polaritons excited by a fast electron beam in hyperbolic materials and sets a way to steer and control the propagation of the polaritonic waves by changing the electron velocity and its direction.
References in corpus (6)
- Theory of surface plasmons and surface-plasmon polaritons
- Sub-diffractional, volume-confined polaritons in a natural hyperbolic material: hexagonal boron nitride
- Electron Beam Spectroscopy for Nanophotonics
- Analytical approximations for the dispersion of electromagnetic modes in slabs of biaxial crystals
- Green function for hyperbolic media
- Interaction of a point charge with the surface of a uniaxial dielectric
Cited by in corpus (5)
- Surface Dyakonov-Cherenkov Radiation
- Electron beams traversing spherical nanoparticles: analytic and numerical treatment
- Electroluminescence and Energy Transfer Mediated by Hyperbolic Polaritons
- Analysis and design of transition radiation in layered uniaxial crystals using Tandem neural networks
- Free-electron radiation engineering via structured environments