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Record W3186454569 · doi:10.1149/ma2021-0112599mtgabs

(Invited) Raman Spectroscopy of Confined Hyperbolic and Surface Phonon-Polaritons in 2D Materials

2021· article· en· W3186454569 on OpenAlexaff
S. Francoeur

Bibliographic record

VenueECS Meeting Abstracts · 2021
Typearticle
Languageen
FieldEngineering
TopicThermal Radiation and Cooling Technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsPolaritonQuasiparticlePhononNanophotonicsRaman scatteringRaman spectroscopySurface phononCondensed matter physicsSurface plasmon polaritonMaterials scienceDispersion relationPhysicsPlasmonOpticsOptoelectronicsSurface plasmon

Abstract

fetched live from OpenAlex

Phonon-polaritons are quasiparticles resulting from the strong coupling between polar phonons and the electromagnetic field. This hybrid matter-light quasiparticle exhibits remarkable characteristics enabling new or enhanced nanophotonics functionalities. Polaritons in 2D materials are particularly promising: the natural anisotropy leads to a hyperbolic frequency dispersion and enables for example sub-wavelength imaging, low-loss propagation, spontaneous emission enhancement, and extreme field confinement. In addition, 2D heterostructures allow unprecedented opportunities for polariton dispersion engineering. Due to the large momentum mismatch between polaritons and free space propagating fields, polariton measurements require either near-field coupling to its evanescent wave or a direct coupling to the underlying polar oscillation. So far, polaritons in 2D materials have been largely studied using the near-field coupling mediated by an AFM tip. This technique has been extensively applied to h-BN, where imaging of polaritons allows determining the dispersion relation, propagative behaviour, and confinement of polaritons. In contrast, Raman scattering probes polar phonons directly. However, polaritonic effects are manifest at very low wavenumber and can be observed only in a forward scattering configuration, which has made until now this important and ubiquitous characterization techniques ineffective for the study of polaritons in 2D materials. In this work, we demonstrate for the first time that Raman spectroscopy in a backscattering configuration is in fact an extraordinarily powerful and versatile tool for polariton studies in 2D materials. Usually forbidden, they can be readily observed due selection rule relaxation occurring in thin samples and the deep sub-wavelength confinement typical of hyperbolic materials. For the demonstration, we used gallium selenide owing to its strong polar resonances, its two hyperbolic regions and its nested reststrahlen structure. Polariton Raman scattering spectra are both calculated and experimentally measured, allowing an unambiguous identification of the polaritons involved. Measurements as function of incident angle directly reveal the dispersion of the upper extraordinary and surface polaritons. The dependence of polariton frequencies on sample thickness is reported and agrees very well with the calculated values, as long as the silicon oxide and silicon substrate on which the sample is deposited are included in the calculation. This demonstrates that polaritons are quite sensitive to their dielectric environment. Excitation near the 1s-exciton leads to a strong exaltation of the upper extraordinary polariton and the otherwise unobserved lower ordinary polariton. This resonant enhancement allows probing subtle effects related to propagation and confinement along lateral directions. The scattering efficiency, initially isotropic for large samples, becomes polarized along the weaker confinement direction. In addition, the polariton frequency becomes polarization dependent and is highest along the strongly confined direction. From these results, we find low propagation losses and a propagation figure of merit of γ -1 ≥ 39 is found. This value is among the highest reported and establishes GaSe as a promising 2D materials. More significantly, these results demonstrate that Raman spectroscopy, a simple, rapid, non-invasive and widely available technique, can effectively probe confined polariton states. Compatible with high spatial imaging and energy resolution, Raman spectroscopy will undoubtedly accelerate the development of a wider variety of polaritonic materials and complex 2D heterostructures for mid-infrared nanophotonics applications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.217
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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