Origin of the Breakthrough Productivity of Ruthenium–Cyclic Alkyl Amino Carbene Catalysts in Olefin Metathesis
Bibliographic record
Abstract
Examined herein is the basis for the outstanding metathesis productivity of leading cyclic alkyl amino carbene (CAAC) catalysts relative to their important N-heterocyclic carbene (NHC) predecessors, as recently demonstrated in the topical contexts of metathesis macrocyclization and the ethenolysis of renewable oils. The difference is traced to the stability to decomposition of the metallacyclobutane (MCB) intermediate. The CAAC catalysts are shown to undergo little to no β-H elimination of the MCB ring, a pathway to which the H 2 IMes catalysts are highly susceptible. Unexpectedly, however, the CAAC catalysts are found to be more susceptible to bimolecular coupling of the key intermediate RuCl 2 (CAAC)(═CH 2 ), a reaction that culminates in elimination of the methylidene ligand as ethylene. Thus, an NMR study of transiently stabilized RuCl 2 (L)(py)(═CH 2 ) complexes (L = CAAC or H 2 IMes) revealed bimolecular decomposition of the CAAC derivative within 5 min at RT, as compared to a time scale of hours for the H 2 IMes analogue. The remarkable productivity of the CAAC catalysts is thus due to their resistance to β-elimination, which enables their use at part per million loadings, and to the retarding effect of these low catalyst concentrations on bimolecular decomposition.
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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 | 0.001 |
| 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".