Cross Conjugated Organometallic Polymers Exhibiting Ultrafast Excitation Energy Channeling: Drastic Effect of the Connectivity
Bibliographic record
Abstract
Abstract A polymer composed of 2,6‐diethynylanthraquinone diimine (AQI) and trans‐bis(tributylphosphine)platinum(II), [Pt], flanked by one tetraphenylpalladium(II)porphyrin (TPPPd) and one para‐nitrobenzene (C6H4NO2) is prepared (P1: M n = 57000, M w = 124500, Đ = 2.18, DP = 52.5) and is studied by time‐resolved emission spectroscopy and fs transient absorption spectroscopy (fs‐TAS). A model polymer (AQI(C6H4NO2)2‐[Pt]) n is used for comparison (P2: M n = 88200, M w = 188700, Đ = 2.14, DP = 111). Taking advantage of the dynamics of the excited states of [Pt] and TPPPd and those obtained for P1 and P2, it is shown that the excitation energy absorbed by the central polymer chain, (AQI‐[Pt]) n , channels this energy very efficiently, to the pendent TPPPd with a rate of energy transfer, k ET(S1), larger than 2.3 × 1010 s−1 for an energy transfer 1(AQI‐[Pt])* → TPPPd for P1 at 298 K based on the decrease of the fluorescence lifetime of the (AQI‐[Pt]) n chain in P1 compared to P2. This rate is more accurately estimated by fs‐TAS and is found to be 1.8 × 1011 s−1. This rate is ultrafast and is due to a large contribution of the Dexter mechanism across the imine bridge (CN).
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".