Nanometer Length-Dependent Triplet−Triplet Energy Transfers in Zinc(II)Porphyrin/<i>trans</i>-Bis(ethynylbenzene)Platinum(II) Oligomers
Bibliographic record
Abstract
The synthesis and characterization of organometallic oligomers of the type [(p-C(6)H(4))C[triple bond]CPt(P(n-Bu)(3))(2)C identical withC(p-C(6)H(4))Zn(P)](n) with the corresponding models [(C(6)H(5)C[triple bond]C)Pt(P(n-Bu)(3))(2)C[triple bond]C(p-C(6)H(4))Zn(P)(p-C(6)H(4))C[triple bond]CPt(P(n-Bu)(3))(2)(C[triple bond]CC(6)H(5))], where Zn(P) is zinc(II)-10,20-di(mesityl)- (n = 4, 9) or zinc(II)-10,20-di-n-pentyl-porphyrin (n = 3, 6, 9), are reported. The electronic spectra (absorption, excitation, emission, and transient absorption) and the photophysical properties (emission lifetimes and quantum yields) of these species in 2-methyltetrahyrofuran at 298 and 77 K are presented. Rates for triplet (T(1)) energy transfer, k(ET), from the [(p-C(6)H(4)C[triple bond]C)Pt(P(n-Bu)(3))(2)(C[triple bond]C-p-C(6)H(4))] spacer to Zn(P) vary from 2.4 x 10(4) to 1.3 x 10(6) s(-1). For the n-pentyl case, a rate dependence of oligomer size is noted as k(ET) increases with the number of units, n. This phenomenon is interpreted by the presence of an excitonic process (i.e., delocalization of the energy along the Zn(P) array).
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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".