Rationalizing Photophysics of Co(III) Complexes with Pendant Pyrene Moieties
Bibliographic record
Abstract
Pendant organic chromophores have been used to improve the photocatalytic performance of many metal-based photosensitizers, particularly in first-row metals, by increasing π conjugation in ligands and lowering the energy of the photoactive absorption band. Using a combination of spectroscopic studies and computational modeling, we rationalize the excited state dynamics of a Co(III) complex containing pendant pyrene moieties, CoL 1, where L 1 = 1,1′-(4-(pyren-1-yl)pyridine-2,6-diyl)bis(3-methyl-1 H -imidazol-3-ium). CoL 1 displays higher visible absorptivity, and blue luminescence from pyrene singlet excited states compared with CoL 0 [ L 0 = 1,1′-(pyridine-2,6-diyl)bis(3-methyl-1 H -imidazol-3-ium)] in which the pyrene moiety is absent. Emissive properties are highly influenced by the metal center, reducing the fluorescence lifetime from 5.9 to 3.5 ns, and a blue shift of 43 nm. The lower energy of the d orbitals in Co(III) compared with Fe(II) drastically affects the character of the excited state, resulting in a mixture of singlet intraligand charge-transfer ( 1 ILCT) and ligand-to-metal charge-transfer ( 1 LMCT) character. Transient absorption experiments revealed that although the dark triplet intraligand pyrene ( 3 IL Pyrene ) state is present, it is not efficiently populated and possesses a short nanosecond-scale lifetime. Instead, triplet metal-centered ( 3 MC) states dominate the decay path with a 2.4 ps lifetime, no photoactivity toward singlet oxygen formation or triplet–triplet energy transfer (TTET). This work shows how various factors can influence excited-state dynamics.
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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 | 0.001 | 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".