Population of Subradiant States in Carbon Nanotube Microcavities in the Ultrastrong Light–Matter Coupling Regime
Bibliographic record
Abstract
Strong light–matter coupling results in eigenstates called polaritons which share the properties of both light and matter and provide a useful way to engineer electronic energies and behaviors. In this work, we study nearly monochiral (6,5) semiconducting carbon nanotubes (CNTs) in a Fabry–Pérot microcavity. Light–matter coupling leads to the formation of three bands of bright polariton states (upper, middle, and lower─resulting from coupling to the bright S 11 CNT exciton and the X 1 phonon sideband of the K-momentum dark exciton state). The structure also supports many exciton-like subradiant states at the bright S 11 and X 1 energies. Here, ultrafast transient reflection spectroscopy is used to study the dynamics and spectral signatures of excited subradiant-state polariton populations and the pathways by which they are populated. After a pump pulse, the excited subradiant-state population is revealed by (i) spectral signatures with relaxation times (∼5 ps) similar to those of CNT S 11 band gap excitons outside of the cavity and (ii) a Rabi contraction of the lower polariton energy, whose magnitude quantifies the excited subradiant-state population. Data show that, following the excitation of the upper polariton (UP), the excited subradiant-state population is maximized at a sample position with a detuning of 118 meV, light–matter coupling of 336 meV, and UP transition energy of 1.52 eV. The excited subradiant-state population is reduced for other detunings. The X 1 Hopfield coefficient of the UP also peaks at the same energy, revealing UP to X 1 scattering as a potentially efficient relaxation pathway. These results will be important for understanding and controlling energy relaxation and transport in future CNT polariton devices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".