Cementitious plasters for façade finishing with phase change materials and thermochromic pigments
Bibliographic record
Abstract
Abstract Exterior building surfaces are exposed to considerable thermal stresses and UV radiations that significantly reduce their durability. Additionally, solar and thermal energy affect energy transfer through the building envelope that impacts indoor comfort and energy demands. Thus, improving the performance of exterior finish materials in regulating exterior surface temperatures would impact the overall performance of buildings. The aim of this research is to develop a responsive cementitious finish plaster for building façade applications to act as a filter for variable solar and thermal loads. The proposed cement plaster is combined with phase change materials (PCMs) and thermochromic (TC) pigments to control solar radiation and surface temperatures dynamically on the exterior façade. This paper presents the prototype development and optical characterization of the prototypes. The objective is to investigate the interaction between different PCM and TC pigments in regulating surface temperatures. Three different melting temperatures for the PCMs were tested in consideration of two different colours of the TC paint. Twelve samples were produced with 2.5% mass fraction of PCM and TC pigment each. The emissivity of the samples was measured using infrared thermography. The results showed that a high emissivity in high temperatures and a low emissivity in colder temperatures could be achieved.
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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) | 0.002 | 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".