Activation of H2 using P/Al based frustrated Lewis pairs and reactions with olefins
Bibliographic record
Abstract
The activation of H2 using Mes3P-AlX3 (X = Cl, Br, I) FLPs was investigated. Heating a 1 : 2 mixture of Mes3P-AlI3 under H2 afforded [Mes3PH][H(AlI3)2] 1. The alane Al(p-C6F4H)32 was prepared and a 1 : 2 solution of (otol)3P and 2 under H2 generated the salt [(otol)3PH][(μ-H)(Al(p-C6F4H)3)2] which could not be isolated. However, the bulky anion salt [Li(OEt2)][FAl(C12F9)3] was readily converted to [Et4N][FAl(C12F9)3] 3 and subsequently to the hydride salt [Et4N][HAl(C12F9)3] 4. Further reaction of 4 with [CPh3][B(C6F5)4] generated the free alane, Al(C12F9)3 which in the presence of Mes3P and exposure to H2 resulted in the formation of [Mes3PH][(μ-H)(Al(C12F9)3)2] 5. Exposing a solution of 1 in C6D5Br with ethylene, propylene or cyclohexene followed by quenching with water resulted in liberation of ethane, propane, or cyclohexane, respectively. In contrast, exposure of 5 to an atmosphere of ethylene showed no evidence of reaction. In related chemistry, protonation of [Et4N][EtAl(C6F5)3] by the phosphonium salts [R3PH][Al(C6F5)4] (R = otol (6), Mes (7), tBu (8)) and [(2,6-Cl2C6H3)3PH][AlCl4] (9) was also examined. In the case of the reaction of 6 and 9 ethane was liberated whereas with 7 and 8, no reaction occurred. The implications for transition metal-free hydrogenation catalysis are considered.
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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) | 0.002 | 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".