Photoinduced Charge Transfer in Poly(3-hexylthiophene)/TiO<sub>2</sub> Hybrid Inverse Opals: Photonic vs Interfacial Effects
Bibliographic record
Abstract
We study the effects of tailored light–matter interactions on charge transfer in conjugated polymer films. We use inverse opal structures of titania as the electron acceptor and the model polymer poly(3-hexylthiophene) (P3HT) as the electron donor. We systematically tune the periodicity of the inverse opal to study how the photophysical properties of the conformally coated P3HT are affected by the photonic stop band and band-edge light localization to observe both suppression and enhancement of absorption. Surprisingly, we observe changes in the vibronic coupling in the P3HT absorption spectra in the inverse opal structures as compared to control films. We determine that the polymer in the inverse opals shows more J-aggregate-like behavior with exciton bandwidths of 18 meV, compared to that of 124 meV for P3HT on a planar mesoporous TiO 2 film. We also study charge transfer at the polymer/inorganic interface by photoinduced absorption spectroscopy. We find that the polaron signal depends on the excitation wavelength, the periodicity of the inverse opal, and the interfacial area. The inverse opal structures exhibit significantly increased charge generation compared to the control films, and we determine that photonic effects of the lattice, while observable, play a secondary role in this enhancement relative to the increased surface area.
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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".