Elucidating Fluorine Steering Effects in Diels‐Alder Reactions Interfaced with Charge‐Enhanced Reactivity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Fluorinated molecules are core to contemporary drug discovery programs and critical for advancing innovation in numerous fields. In merging these important chemical themes, fluorinated Diels‐Alder cycloaddition products are a particularly attractive subset of compounds with significant utility. Herein, an in‐depth computational and experimental study of fluorine substitution effects on dienophile partners in Diels‐Alder reactions is reported. Of particular focus to this study is understanding the origin of reaction rate deceleration as a consequence of employing fluorinated dienophiles and the factors controlling endo‐ vs. exo ‐selectivity. To unlock insight into this unique reactivity, density function theory calculations, distortion/interaction‐activation strain models, energy decomposition analysis and natural bond orbital analysis, among other computational methods, were applied. In addition, the influence of oriented external‐electric‐field‐effects (OEEFs) and local electric field effects were explored. To further probe this effect, experimental studies of charge‐enhanced Diels‐Alder reactivity with fluorinated dienophiles were conducted. Collectively, this work offers novel mechanistic understanding pertinent to Diels‐Alder reactions of fluorinated dienophiles providing valuable fluorinated scaffolds.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.004 | 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 it