Soft-Templated Mesoporous Carbons: Chemistry and Structural Characteristics
Bibliographic record
Abstract
Soft-templated mesoporous carbon is a relatively newer variety of synthetic nanoporous carbon. This type of carbon is templated by the micellar actions of amphiphilic surfactants with the phenolic type of carbon precursors. The role of surfactants is similar to that of silica in the case of hard-templating, i.e., to dictate the structural characteristics and mesoporosity of the carbons. A wide variety of amphiphilic surfactants along with synthetic and natural precursors were employed for use as a carbon source. Despite being termed as mesoporous carbon, these materials usually contain a large fraction of micropore distribution which is clearly observed in the type IV nature of nitrogen adsorption-desorption plot. Because of the unique mesopore feature of such carbon, it has found wide application in several unique fields of science and technology. This particular review briefly discusses the synthesis protocols of mesoporous carbons, including the types of carbon precursors and surfactants along with their critical role in dictating the structural characteristics. It also introduces the role of physical and chemical activation in enhancing the porosity and the key structural features of soft-templated mesoporous carbons.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".