Synthesis, characterization, and catalytic activity of Fe-SBA-15 mesoporous materials
Bibliographic record
Abstract
Fe-SBA-15 was successfully synthesized by hydrothermal treatment in one step . Different techniques such as XRD, BET, HRTEM, UV-vis have been used to characterize the Fe-SBA-15 samples. Obtained results have shown that the obtained Fe-SBA-15 samples have highly ordered hexagonal mesostructure with large pore size of about 64Å. Most Fe species in the Fe-SBA-15 were tetrahedrally coordinated. The sample exhibited high stability by calcination at high temperature to remove the template. The Fe-SBA-15 catalysts were tested in catalytic oxidation of phenol and photocatalytic oxidation of chlorophenol. The results indicated that Fe-SBA-15 exhibited the high catalytic activity in these reactions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".