SBA-15 Templated Mesoporous Carbon: New Insights into the SBA-15 Pore Structure
Bibliographic record
Abstract
This work used a combination of designed synthesis conditions for SBA-15 to gain new insights into the genesis of micropores and secondary mesopores bridging the primary mesoporous channels. Different SBA-15 samples were prepared at low temperature (35 and 60 °C) without stirring to generate a simple monodispersed rodlike morphology. Sodium chloride was used to control the occurrence of micropores. All samples were used as templates for the synthesis of CMK-5 type (nanopipes) of porous carbons via carbonization of occluded poly(furfuryl alcohol). Detailed characterization of the silica templates, the carbon/silica composites, and the nanoporous carbons led to the following main conclusions: (i) Combination of inorganic salts with low synthesis temperature (ca. 35 °C) afforded SBA-15 silica free of micropores and secondary mesopores, akin to MCM-41. The corresponding carbon was fibrous in nature and did not retain the rodlike morphology of the template; (ii) the microporous as well as mesoporous bridges connecting the primary mesoporous channels of SBA-15 occur at temperatures as low as 60 °C. As the synthesis temperature increases, the microporous bridges tend to vanish, whereas the mesoporous bridges become more abundant. The corresponding carbon nanopipes, and by inference nanorods, exhibited the same morphology as the template.
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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".