Building molecular frameworks with tailored pore structures
Bibliographic record
Abstract
Interest in materials made from molecular components, driven by the promise of new systems with precisely tailored properties, is accelerating at a rapid pace. The last decade has witnessed tremendous advances in the sophistication of molecular materials based on supramolecular building blocks that can be interchanged at will to generate materials with properties and function that can be finely tuned in a systematic manner. This is exemplified here by examples that illustrate the role of hydrogen bonding in generating low-density ‘porous’ frameworks capable of forming lamellar host–guest inclusion compounds with tunable inclusion cavities and solid-state architectures, topologically related tube-like structures and two-dimensional porous molecular monolayers with structures mimicking layered motifs in molecular crystals. These systems demonstrate that low-density molecular frameworks can be systematically engineered to generate rather predictable and robust structures, particularly if they possess an intrinsic softness that enables the frameworks to self-optimize the non-covalent interactions governing their supramolecular architectures. Copyright © 2000 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".