Catalytic activity and chemical structure of Nano MoS2 synthesized in a controlled environment
Bibliographic record
Abstract
A novel hydrothermal method for preparation of nano MoS2 for hydrodesulfurization (HDS) with MoO3 as precursors is presented. The redox reaction mechanism is, for the first time, revealed. It is shown to involve the oxidation of S2- to SO42- while hexavalent Mo is reduced to quadrivalent Mo to form MoS2. HS- group is identified to play a key role in reduction of MoO3. The acid-base behaviour of Na2S to HS- group and the yield of the resulting MoS2 are controlled via the pH of the synthesis solution. Various characterization methods, e.g. XRD, TEM, SEM, BET, TPR, XPS, XANES, EXAFS, etc. are employed for the characterization of the synthesized MoS2. The results show that high purity MoS2 is obtained. The ratio of precursors, MoO3 and Na2S, influences the crystal structure and catalytic activity. Slight less sulfur than stoichiometric ratio of S/Mo produces defect sites, which promotes catalyst activities in the hydrodesulfurization of real light cycle oil (LCO).
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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) | 0.001 | 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 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".