Larger pores via shorter pillars in flexible layer coordination networks
Bibliographic record
Abstract
Metal organic frameworks are porous coordination networks that offer tunable structures via modular synthetic routes. It is well established that zinc 3-amino-1,2,4-triazolate (ATz) forms structures with cationic layers. These layers can be pillared by anions to generate pores. We present three new Zn2(ATz)2(A) structures with A = 1,4-benzenedicarboxylate (BDC) pillars, 2-amino-1,4-benzene-dicarboxylate (BDC-NH2) and 2-methyl-1,4-benzenedicarboxylate (BDC-Me) to give the CALF-24 series of metal organic frameworks. Initially, these compounds were prepared to assess their CO2 capture ability and these data are presented. More significantly, comparing these and published ZnATz relatives, primarily from the group of X.M. Chen, we propose that, for layered systems with some flexibility in their bonding, larger pores actually result by pillaring with shorter linkers. While this may seem counterintuitive, a rationale is offered as borne out by the library of existing data. This offers a general concept for making porous materials based on the rigidity of the building units.
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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 | 0.000 |
| 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".