Advances in Energy‐Efficient Plasmonic Electrochromic Smart Windows Based on Metal Oxide Nanocrystals
Bibliographic record
Abstract
Energy consumption of buildings during heating and cooling accounts for about 15% of global total energy consumption. Advanced dynamic switchable windows that enable independent control of solar heat will contribute to optimal energy efficiency in heating, cooling, and artificial lighting systems throughout buildings. Recently, energy‐efficient plasmonic electrochromic smart windows (PESWs) based on metal oxide nanocrystals (NCs) have been gaining increasing attention due to their effective and controllable regulation over the near‐infrared region of the solar spectrum without affecting the dynamic visible transmittance of the smart windows. Herein, the current state‐of‐the‐art results of colloidal metal oxide NCs for PESWs are highlighted, along with their design strategies and working principles. The recent research status of PESWs in typical colloidal metal oxide NCs is reviewed in detail, and the challenges and corresponding countermeasures in this field are discussed. Furthermore, an outlook into novel opportunities in PESW‐related academic research and how to accelerate the pace of real‐world applications is presented.
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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".