Bibliographic record
Abstract
Nanoparticles Fe3 O4 were synthesized with co-precipitation method and coated on the surface of multiwalled carbon nanotubes(MWCNTs)to prepare the magnetic Fe3 O4-MWCNTs hybrid.The magnetic Fe3 O4-MWCNTs hybrid was aligned in the epoxy resin under weak magnetic field(0.6T).Alignment and dispersion of Fe3 O4-MWCNTs were studied by transmission electron microscope(TEM).Dynamic mechanical analysis(DMA), differential scanning calorimetry(DSC)and thermal conductivity were tested.As a result,nanoparticles Fe3 O4 are coated on the surface of MWCNTs,hybrids are aligned end-to-up under 0.6Tmagnetic field.Thermal conductivity is anisotropy,with lower thermal conductivity in vertical direction,while Fe3 O4-MWCNTs hybrid has little effect on the parallel thermal conductivity.With adding Fe3 O4-MWCNTs hybrid into epoxy resin,storage modulus decreases and loss modulus increases.In the meantime,loss factors of nano Fe3 O4-MWCNTs/epoxy composites are higher than those of the pure epoxy resin exihibiting good damping property.When the mass ratio of Fe3 O4-MWCNTs hybrid to epxy resin is 0.3%,loss factor is more than 0.7and up to 1.16at about 20℃.
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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".