Inclusion in Microporous β-Bis(1,1,1-trifluoro-5,5-dimethyl-5- methoxyacetylacetonato)copper(II), an Organic Zeolite Mimic
Bibliographic record
Abstract
In this contribution, we show that the porous β-form of the title complex preserves its host lattice pore structure in the presence of more than 100 guests. Among the species that are able to promote the α-to-β transformation and that are capable of being included as guests are the gaseous and condensed hydrocarbons, their halo derivatives, alcohols, diols, aldehydes, ketones, ethers, esters, ethers of inorganic acids, acids, nitriles, and a variety of substituted aromatics . The empty β-form behaves like a microporous sponge, instantly absorbing significant quantities even of highly volatile compounds such as methane, ethane, and propane. The material demonstrates zeolite-like behavior, not only from the robustness of the empty pore structure, but also from its propensity for efficient adsorption and desorption. The thermal stability of inclusions with normal paraffins increases from 142 °C (incongruent melting) to 163.5 °C (true melting) in the series from n -C5 to n -C16, while the guest-free α-form of the complex melts at 157 °C. The interaction of the complex with alcohols illustrates competing options between chemical bonding to copper and physical sorption into the microporous β-form. Methanol and ethanol coordinate to copper, thereby taking part in building, respectively, 2-D and 1-D polymers, whereas higher alcohols induce conversion to a 3-D β-form, stabilizing this porous modification by inclusion. From the observed stoichiometry and thermal stability, the host matrix is shown to be capable of molecular recognition of alcohols that have a shape and dimensions complementary to available pore geometry. Finally, the prospects for the rational design of new 3-D microporous polymers of bis-chelate building blocks are discussed.
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.
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) | 0.000 | 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".