Role of nanostructured coatings on composite phase change materials for thermal durability enhancement: A review
Why this work is in the frame
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Bibliographic record
Abstract
With the rapid growth in energy demand and the increasing need for stable thermal storage, the use of phase change materials (PCMs), particularly in the form of phase change composite materials, has received widespread attention. Despite the high advantages of composite phase change materials (CPCMs) in latent heat storage, problems such as leakage, low thermal conductivity, and performance degradation in successive thermal cycles have still limited their use. One of the novel solutions to increase the thermal durability of these materials is the application of nanostructured coatings on their surfaces. By creating physical and chemical barriers, these coatings not only prevent leakage and oxidation but also improve heat transfer and increase structural stability under operational conditions. In this review article, we first introduce the basic principles of PCMs and the structure of CPCMs. Then we investigate the key role of nanostructured coatings in improving thermal stability, reducing supercooling, and increasing thermal cycling. Also, industrial applications of this technology in various fields such as solar energy storage, thermal control of buildings, thermal management of lithium-ion batteries, and electronic systems are reviewed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it