Molecular Tectonics. Hydrogen-Bonded Networks Built from Tetraphenols Derived from Tetraphenylmethane and Tetraphenylsilane
Bibliographic record
Abstract
Tetrakis(3-hydroxyphenyl)silane ( 1 ), tetrakis(4-hydroxyphenyl)methane ( 2 ), and tetrakis(4-hydroxyphenyl)silane ( 3 ), in which phenolic hydroxyl groups are attached to tetrahedral tetraphenylsilyl and tetraphenylmethyl cores, produce a series of hydrogen-bonded networks when crystallized from CH 3 COOC 2 H 5 . Each hydroxyl group in meta -substituted tetraphenol 1 participates in two intermolecular hydrogen bonds as both donor and acceptor, producing helical chains of hydrogen bonds running along the c axis. Each molecule of tetraphenol 1 is linked to four symmetrically oriented neighbors by a total of eight hydrogen bonds, thereby creating a diamondoid network. No interpenetration is observed, and no significant volume remains for the inclusion of guests. The hydrogen-bonded networks derived from para -substituted analogues 2 and 3 are markedly different. Each molecule of tetraphenol 2 is hydrogen-bonded to six neighboring tetraphenols, and the resulting network defines zigzag channels that run parallel to the c axis, measure about 3.3 × 4.4 Å at the narrowest point, and include CH 3 COOC 2 H 5 as guest. Approximately 28% of the volume of crystals of tetraphenol 2 is available for inclusion. Tetraphenol 3 crystallizes as a monohydrate, and H 2 O is incorporated as a structural element in the resulting network. Each molecule of tetraphenol 3 forms hydrogen bonds with two molecules of H 2 O and four unsymmetrically oriented neighboring molecules of tetraphenol 3, producing a structure that is closely packed. The variety of structures obtained from compounds 1 − 3 under similar conditions shows that the hydroxyl group of phenols is not a highly predictable director of supramolecular assembly.
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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) | 0.001 | 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".