Design strategies, manufacturing, and applications of radiative cooling technologies
Bibliographic record
Abstract
Radiative cooling is a passive cooling strategy that leverages thermal radiation to dissipate heat into a cooler environment, offering an energy-efficient and environmentally friendly alternative to conventional cooling technologies. Recent advancements in material science and nanophotonics have led to the development of engineered radiative cooling materials with tailored optical and thermal properties. Photonic structures, multilayer films, metamaterials, and polymer-based composites have demonstrated enhanced cooling performance by maximizing solar reflectance and infrared emissivity. These innovations have facilitated scalable, lightweight, and durable cooling solutions suitable for diverse applications, including building envelopes, electronic devices, and urban infrastructure. Nonetheless, several challenges must be solved to achieve widespread commercialization. These include further research into robust and long-lasting materials to address material degradation, innovations in fabrication techniques to reduce cost, design approaches to make more effective use of these materials and processes, and adaptability to hot and humid climates. Ongoing research continues to refine material and structural design, improve manufacturing methods, and expand the range of practical applications. By overcoming these challenges, radiative cooling has the potential to significantly reduce energy consumption and enhance climate resilience, positioning itself as a crucial component of future sustainable cooling technologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".