Bibliographic record
Abstract
The solvent-free nano SiO2 fluid was prepared with nanoparticle SiO2 as the core,N,N-didecyl-N-methyl-N-(3-trimethoxysilylpropyl)ammonium chloride(SID3392)as the necklayer and poly(ethylene glycol)4-nonylphenyl3-sulfopropyl ether potassium salt(PEGS)as the canopy.The solvent-free nano SiO2 fluid is a Newtonian fluid with low viscosity at room temperature,and its viscosity is 4.3Pa·s at 26.5°C.The mass fraction of SiO2 in the solvent-free nano SiO2 fluid is 13.65%.The solvent-free nano SiO2 fluid is loaded in the epoxy matrix to prepare solvent-free nano SiO2fluid/epoxy composites.The TEM results confirm that the solvent-free nano SiO2 fluid disperses well in the epoxy matrix.DSC test shows that the solvent-free nano SiO2 fluid can decrease the curing temperature of the epoxy.When the content of solvent-free nano SiO2 fluid in the composites reaches up to 2.5wt%,the impact properties of the epoxy is improved up to 164.7%.The glass transition temperature is improved by 15.4℃.The SEM results of fracture surface also confirm that solvent-free nano SiO2 fluid can improve the toughness of epoxy.
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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) | 0.001 | 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 | 0.001 |
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".