Controlled Morphology Synthesis of Nanostructured β-AlF<sub>3–<i>x</i></sub>(OH)<i><sub>x</sub></i> with Tunable Specific Surface Area
Bibliographic record
Abstract
In this work, the synthesis of β-AlF3–x(OH)x nanoparticles with very high specific surface area (SSA) using a microwave-assisted solvothermal process is reported. The influence of synthesis parameters on the morphology and SSA was investigated, and the nature of the solvent is shown to have the greatest impact. Five samples prepared using different solvent mixtures were deeply characterized by thermogravimetric analysis (TGA), N2 sorption, powder X-ray diffraction, transmission electron microscopy (TEM), and 19F and 27Al high-field solid-state NMR. Their SSAs range from 25 to 345 m2·g–1 with an associated OH content slightly increasing from ≈16% (AlF2.52(OH)0.48) to ≈19% (AlF2.42(OH)0.58), as estimated by TGA and 27Al high-field solid-state NMR. Compared to previous reference work [Dambournet, D., Chem. Mater. 2008, 204 1459−1469], β-AlF3–x(OH)x nanoparticles with SSAs up to 4 times larger were obtained. TEM revealed the formation of hollow nanostructures except when the surface exceeds 300 m2·g–1, in which case isolated nanoparticles are observed. The sample with the highest SSA also displaying an appealing cumulative pore volume of 0.060 cm3·g–1, its hydrogen adsorption capability was evaluated to show that β-AlF3–x(OH)x nanoparticles have a potential interest for hydrogen storage applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".