Aspect-Ratio-Controlled Excitonic Zeeman Effects in Alkali Tungsten Bronze Nanocrystals Revealed by Magnetic Circular Dichroism Spectroscopy
Bibliographic record
Abstract
Plasmonic nanostructures are characterized by a quantized collective oscillation of free charge carriers induced by resonant photon absorption. Charge carriers in plasmonic nanostructures can interact with other quasiparticles, including excitons, phonons, or magnons, under specific conditions, resulting in the emergence of unique quantum phenomena. Here we investigated the effect of geometry of substoichiometric plasmonic cesium-doped tungsten oxide (Cs:WO 3– x ) nanocrystals on the interactions between free electrons and excitons. By adjusting the colloidal synthesis conditions, we controlled the nanocrystal aspect ratio (height/width) and thereby the location, concentration, and spatial distribution of charge carriers and their interaction with the exciton in prism-shaped Cs:WO 3– x nanocrystals. Using magnetic circular dichroism spectroscopy, we demonstrate the modulation of the magnetic-field-induced excitonic Zeeman effects in these nanocrystals as a function of their aspect ratio, enabled by the cooperative effect of strong electron localization on oxygen vacancies at the basal plane and the delocalization of Cs-derived electrons along the prismatic plane. The results of this work show that modulation of the carrier–exciton interactions in degenerately doped semiconductor nanocrystals can be achieved by manipulation of their aspect ratio, as a simple geometric parameter, providing a potential for applications of these materials for research in nanophotonics, optoelectronics, and correlated quantum materials.
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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) | 0.000 | 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".