Preparation and characterization of Fe_3 O_4 @ TiO_2 core-shell magnetic nanomaterials
Bibliographic record
Abstract
Core-shell magnetic Fe 3 O 4 @ TiO 2 nanomaterials with different morphologies have been obtained by combining the sol-gel method and solvothermal method. The monodisperse Fe 3 O 4 core was synthesized by solvothermal reaction,and the TiO 2 shell was derived using solvothermal reaction and sol-gel method with tetrabutyl titanate as the precursor. The morphology,structure and magnetic properties of Fe 3 O 4 @ TiO 2 nanomaterials were characterized by scanning electron microscopy( SEM),transmission electron microscopy( TEM),X-ray diffraction( XRD),thermogravimetric analysis( TGA) and vibrating sample magnetometer( VSM). The results showed that Fe 3 O 4 nanoparticles were coated by TiO 2, and Fe 3 O 4 @ TiO 2 exhibited high degree of crystallinity,regular crystalline morphologies and excellent magnetism. These integrated features would make the Fe 3 O 4 @ TiO 2 materials have attractive applications in areas of environmental purification,biomedical field,energy conversion and storage. In addition,the formation mechanism of TiO 2 shell was also proposed.
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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".