The photocatalytic mechanism of organic dithienophosphole derivatives as highly efficient photo-redox catalysts
Bibliographic record
Abstract
The use of organic photo-redox catalysts to initiate well-controlled photochemical reactions has aroused great interest. The development of visible light-driven photocatalytic reactions, which enable rapid and efficient synthesis of fine products, is highly desired from the perspective of being able to achieve low cost, good reversibility, and environmental friendliness. Herein, the organic photocatalytic cycle, with organic dithienophosphole (DTP) derivatives Ph-DTP and TPA-DTP as the photo-redox catalysts, and iodonium salt (Ar2I+) and ethyl 4-(dimethylamino)benzoate (EDB) as the respective acceptor and donor substrates, is fully analyzed by using density functional theory and dissociative electron transfer theory. We show that the strong redox potentials in the excited state as well as the sufficiently long-lived excited state of both DTP derivatives are a robust driving force for activating the electron acceptor Ar2I+ in the activation process. Moreover, the activation barriers of electron transfer are only 0.43-11.9 kcal mol-1 for the different activation pathways. During the deactivation process, the reaction energy profiles indicate that EDB plays a vital role in reducing DTPs˙+ to their initial states. Importantly, the activation barriers and rate constants in both activation and deactivation processes obtained in this study are better than those of classic Cu-based and metal-free Ph-PTZ-based photo-redox catalysts. The excellent performance of both DTP derivatives thus enables them to be highly efficient organic photo-redox catalysts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".