SiO2 aerogel multiscale reinforced by glass fibers and SiC nanowhiskers for thermal insulation
Bibliographic record
Abstract
Abstract SiO2 aerogel attracts much interest as thermal insulation material due to ultra-low density and excellent thermal performance at room temperature. However, the poor mechanical property and a mass of heat transfer by radiation in high temperature limit application of aerogels. Herein, a novel aerogel composites multiscale reinforced by glass fibers with SiC nanowhiskers (SiCnw) (AFW) was prepared. SiCnw were evenly distributed in glass fibers felts by freezing-drying method to form a uniform multiscale felts. The SiCnw inside felts provided more contact point with aerogel to increase the interfacial adhesion force so that compressive stress of AFW with 4% volume fraction SiCnw was increased to 0.29MPa. SiCnw blocked infrared radiation to decrease the heat transfer. Therefore, Even though SiCnw raised thermal conductivity of aerogels at room temperature, thermal conductivity at 500℃ of AFW with was only 0.040 W/(m·K). In another word SiCnw reduced the sensitivity of thermal conductivity to temperature. AFW shows potential in the field of medium and high temperature insulation.
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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".