Influence de la teneur en nickel sur les propriétés texturales, structurales et catalytiques des aérogels à base de zircone sulfatée et dopée au nickel
Bibliographic record
Abstract
Le present travail consiste en l'elaboration et la caracterisation des solides aerogels de zircone sulfatee dopee au nickel, et l'optimisation de leurs performances catalytiques dans la reaction d'isomerisation du n-hexane. Ces solides ont ete prepares par voie sol-gel, seches dans les conditions hypercritiques du solvant et calcines a differentes temperatures. La caracterisation des aerogels de differents rapports molaires nNi/nZr par physisorption de N 2 montre que ces solides sont dotes de surfaces specifiques developpees et d'une distribution poreuse homogene. Tous les solides stabilisent la phase ZrO 2 quadratique meme a haute temperature de calcination. On note en plus le developpement de la phase NiO pour les echantillons riches en nickel. L'addition du nickel en faible quantite ameliore les proprietes catalytiques de la zircone aerogel sulfatee, alors que l'augmentation de la teneur en nickel diminue les performances catalytiques du catalyseur.
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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".