A Primer in Frustrated Lewis Pair Hydrogenation: Concepts to Applications
Bibliographic record
Abstract
Written for senior undergraduate and graduate students, as well as those chemists unfamiliar with “frustrated Lewis pairs (FLPs)”, this text serves as an introduction to the both the concept and application of FLPs in hydrogenation catalysis. The book begins by setting the stage as it was around the turn of the century. While the dramatic impacts of catalysis were undeniable, there was dependence of such technologies on transition metal chemistry. Contrastingly, the chemistry of main group elements was dominated by Lewis acid-base behavior. However, these perceptions were altered with the discovery of the ability of “frustrated Lewis pairs (FLPs)” to activate dihydrogen. The basic features, and mechanisms of action of these unique main group systems are chronicled, while the evolution of the initial findings to applications in catalytic hydrogenation is discussed. A subsequent chapter focuses on the breadth of organic substrates for which borane based FLP hydrogenations are effective. This is furthered with a chapter on the metal-free enantioselective reductions. FLP chemistry is not limited to systems involving boranes and this book also catalogues a range of FLP hydrogenation catalysts involving elements from across the periodic table. The final chapter in the book describes other directions of interest where the application of the concept of FLPs hydrogenation are beginning to emerge. Ideal for course use and self study, this book provides synthetic chemists with a fresh, expert introduction to the field. The reader will be left recognizing that hydrogenation catalysts is a domain no longer limited to transition metals.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.021 | 0.011 |
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".