Vibrational exciton transfer in a dimer chain coupled to thermal reservoirs
Bibliographic record
Abstract
Previously, we studied the effect of introducing acoustic phonons into a 1D dimer chain on the transfer of a vibrational exciton through the chain. We found that the excitation transfers across the chain on a 100 fs timescale when the phonons are present, in contrast to a 10 ps timescale in the absence of the phonons. Although the transfer was shown to be quite robust in the presence of weak disorder, the effect of coupling the chain to thermal reservoirs remained an open question. Herein, we study the effect of coupling the ends of the chain to thermal reservoirs at different temperatures via adiabatic mixed quantum-classical dynamics. Our results suggest that for a static chain (with no acoustic phonons) one could enhance the exciton transfer by increasing the chain-reservoir coupling strength regardless of the temperature gap between the reservoirs. In contrast, for a non-static chain (with acoustic phonons) the exciton transfer is not significantly affected by varying the coupling strength and temperature gap.
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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) | 0.002 | 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".