The synthesis of novel zeolite Y nanoparticles using mesoporous silica with a temperature controlling method
Bibliographic record
Abstract
Porous nanoparticles aggregated from primary zeolite sodium‐form Y (NaY) nanocrystals were hydrothermally synthesised using porous precipitated silica as the silica source via a three‐stage temperature control strategy, using tetramethylammonium hydroxide (TMAOH) as an organic additive. The synthesised samples were characterised using powder X‐ray diffraction, energy dispersive X‐ray spectroscopy, nitrogen (N2) sorption, and particle size analysis. The results show that the zeolite aggregate particles with sizes of 150–600 nm were composed of highly crystalline zeolite NaY nanoparticles in the size range of 2–4 nm. The particle sizes of porous aggregates can be readily tuned by varying the additive amounts of the zeolite precursor gel without notably changing the sizes of the primary zeolite nanocrystals. The N2 sorption results show that the zeolite NaY aggregate particles had high microporosity with no clear mesoporosity. The zeolite particles exhibited very good resistance to mechanical conglomeration and remained intact after several months.
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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) | 0.000 | 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".