Thermal and Optical Performance of Granular Aerogel Glazing After Accelerated Ageing
Bibliographic record
Abstract
The glazing portion of a window has dual but conflicting functions where it is required to provide views to the outside, but also have good thermal resistance. Glazing is usually one of the weak points in the thermal envelope and tends to age quicker and to a higher severity. The combination of granular aerogel inside a glazing cavity is still relatively new product, but could offer both great thermal and optical performance. Currently available durability data for granular aerogel glazing is scarce. Accelerated ageing was used to generate real life equivalent stresses of 13.5‐74 years by exposing a set of samples to several climatic conditions. The center of glass U‐value increased by a maximum of 4% after accelerated ageing in the oven and the temperature cycling machine. A maximum reduction of 211% was measured in the visible transmittance after accelerated ageing climatic and humidity chambers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".