Electronic and Vibrational Coherences in Resonance Energy Transfer along MEH-PPV Chains at Room Temperature
Bibliographic record
Abstract
In this work we report a study of the role of coherence dynamics in the intermediate coupling regime of electronic energy transfer (EET). Starting from the idea that in the intermediate coupling regime the phase information should be partially retained in a transfer process from a donor to an acceptor, we designed a new ultrafast experiment based on anisotropy decay along two time axes, capable of probing the degree of coherence characterizing this transfer. Conjugated polymer (poly[2-methoxy-5-(2'-ethyl-hexoxy)-1,4-phenylenevinylene], MEH-PPV) samples with different chain conformations were examined as a model multichromophoric system. The data, recorded at room temperature, reveal coherent transfer associated with intrachain energy transfer. These results were extended using two-dimensional photon echo measurements, which revealed the presence of long-lived intrachain electronic and vibrational coherences. Our results suggest that, in the intermediate coupling regime, quantum transport effects can occur when chemical bonds connecting donor and acceptor help to correlate their energy gap fluctuations. Moreover, they influence the mechanism of EET, even at room temperature.
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 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".