Nano Aerogel-Based VIS-NIR Switchable Electrochromic Supercapacitor: Energy Storage and Heat-Shielding Device
Bibliographic record
Abstract
Power-efficient electrochromic devices that can exhibit multifunctional applications, especially in the areas of energy storage and savings, are increasingly in demand. Here, an inorganic–organic electrochromic smart window has been designed in which a self-supporting aerogel-type network of tin-doped indium oxide (a-ITO) nanoparticles was doped to enable applications in supercapacitive energy storage. The devices based on poly(3-hexylthiophene-2,5-diyl) (doped with incorporated a-ITO) and viologen exhibit bias-induced color modulation in the visible and infrared range. This function can be employed to prevent the transmission of latter radiation to maintain a temperature difference on the two sides of the device when it is turned ON with a bias voltage of 1.6 V. The device exhibits an electrochromic supercapacitor property with a maximum coloration efficiency of 966 cm 2 /C with a switching time of only 0.5 s, color contrast of 61%, and high specific capacitance of 17 F/g. Potential applications of the device in temperature shielding are discussed, and a maximum cooling efficiency of 32% is demonstrated. Overall, a recipe is developed to design energy-storing and energy-saving multicolor-switchable smart windows for application in designing energy-efficient smart windows/buildings.
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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".