Spectroscopic and Interferometric Sum-Frequency Imaging of Strongly Coupled Phonon Polaritons in SiC Metasurfaces.
Richarda NiemannNiclas Sven MuellerSören WasserrothGuanyu LuMartin WolfJoshua D CaldwellAlexander PaarmannPublished in: Advanced materials (Deerfield Beach, Fla.) (2024)
Phonon polaritons enable waveguiding and localization of infrared light with extreme confinement and low losses. The spatial propagation and spectral resonances of such polaritons are usually probed with complementary techniques such as near-field optical microscopy and far-field reflection spectroscopy. Here, we introduce infrared-visible sum-frequency spectro-microscopy as a tool for spectroscopic imaging of phonon polaritons. The technique simultaneously provides sub-wavelength spatial resolution and highly-resolved spectral resonance information. This is implemented by resonantly exciting polaritons using a tunable infrared laser and wide-field microscopic detection of the upconverted light. We employ this technique to image hybridization and strong coupling of localized and propagating surface phonon polaritons in metasurfaces of SiC micropillars. Spectro-microscopy allows us to measure the polariton dispersion simultaneously in momentum space by angle-dependent resonance imaging, and in real space by polariton interferometry. Notably, we directly visualize how strong coupling affects the spatial localization of polaritons, inaccessible with conventional spectroscopic techniques. We further observe the formation of edge states at excitation frequencies where strong coupling prevents polariton propagation into the metasurface. Our approach is applicable to the wide range of polaritonic materials with broken inversion symmetry and can be used as a fast and non-perturbative tool to image polariton hybridization and propagation. This article is protected by copyright. All rights reserved.
Keyphrases
- high resolution
- single molecule
- high speed
- optical coherence tomography
- label free
- energy transfer
- molecular docking
- room temperature
- mass spectrometry
- high throughput
- deep learning
- healthcare
- magnetic resonance imaging
- molecular dynamics simulations
- magnetic resonance
- machine learning
- computed tomography
- single cell
- quantum dots
- climate change
- fluorescence imaging
- health information