Synthesis and Breathing Behaviour of a New Member of the Fluoride-substituted Gallium MIL-53 Metal-Organic Framework Solid-Solution Series
Bibliographic record
Abstract
A new member of the fluoride-substituted gallium MIL-53 metal-organic framework [Ga(OH)₁₋ₓFₓ(bdc)] (bdc²⁻ = 1,4-benzenedicarboxylate) solid-solution series, [Ga(OH)₀.₈₀F₀.₂₀(bdc)] (1), is reported that extends the series to [Ga(OH)₁₋ₓFₓ(bdc)] (x ≤ 0.20). The framework fluoride content is 33% greater than the previously reported highest framework fluoride-containing gallium MIL-53 [Ga(OH)₀.₈₅F₀.₁₅(bdc)] and is achieved using a novel HF-free route. The effects of the additional μ₂-F⁻ bridging anions in the framework on the breathing behaviour of 1 are profound compared to those previously reported for [Ga(OH)(bdc)] and [Ga(OH)₀.₈₅F₀.₁₅(bdc)]. Large pore-1 (lp-1) does not transform to narrow pore-1 (np-1) over the entire 500 K–100 K–500 K temperature range investigated and np-1 undergoes transformation to lp-1 on heating from 400 K to 500 K at a suitably fast heating rate. Both results indicate the greater stability of lp-1 relative to np-1. The combined use of heating and guest water desorption/adsorption is sufficient to allow 1 to exhibit a full breathing cycle. Overall, this work demonstrates the ability to tune the breathing properties of a MIL-53 MOF through the method of fluoride incorporation into the μ₂-bridging anion framework site and should be a methodology applicable to engineer the breathing and other behaviours of many MOFs in a controlled manner.
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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".