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Chiral Exciton Polaritons in a WS<sub>2</sub> Monolayer

2025· article· en· W4413461803 on OpenAlexaff
Matthias Wurdack, Sarka Vavreckova, Ivan Iorsh, Tobias Bucher, Eliezer Estrecho, Sebastian Klimmer, Zlata Fedorova, Huachun Deng, Qinghai Song, Giancarlo Soavi, Falk Eilenberger, Thomas Pertsch, Isabelle Staude, Yuri S. Kivshar, Elena A. Ostrovskaya

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStrong Light-Matter Interactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsMonolayerExcitonPolaritonExciton-polaritonsMaterials scienceCondensed matter physicsOptoelectronicsPhysicsNanotechnology

Abstract

fetched live from OpenAlex

Transition metal dichalcogenides (TMDs) mono layers exhibit a unique band structure that allows for valley-selective optical excitation at the KlK’ points of the Brillouin zone. The formation of K and K’ excitons, which possess high oscillator strength and strong photoluminescence, can be controlled by circularly polarized light, which opens exciting possibilities for spintronics and quantum information technologies [1]. In the experiment, however, the degree of circular polarization of KlK’ excitons is usually quenched due to non-elastic scattering events, which can be suppressed by strong exciton-photon coupling [2]. Chiral photonic bound states in the continuum (BICs) emerge as a promising candidate for further enhancing the polarization properties in TMDs due to their polarization selectivity and strong confinement of photons [3].

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.005
GPT teacher head0.250
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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