Stoichiometrically Optimized Electrochromic Complex [V<sub>2</sub>O<sub>2+ξ</sub>(OH)<sub>3‐ξ</sub>] Based Electrode: Prototype Supercapacitor with Multicolor Indicator
Bibliographic record
Abstract
Abstract The systematic structure modification of metal oxides is becoming more attractive, and effective strategies for structural tunning are highly desirable for improving their practical color‐modulating energy storage performances. Here, the ability of a stoichiometrically tuned oxide‐hydroxide complex of porous vanadium oxide, namely [V 2 O 2+ξ (OH) 3‐ξ ] ξ = 0:3 for multifunctional electrochromic supercapacitor application is demonstrated. Theoretically, the pre‐optimized oxide complex is synthesized using a simple wet chemical etching technique in its optimized stoichiometry [V 2 O 2+ξ (OH) 3‐ξ ] with ξ = 0, providing more electroactive surface sites. The multifunctional electrode shows a high charge storage property of 610 Fg −1 at 1A g −1 , as well as good electrochromic properties with high color contrast of 70% and 50% at 428 and 640 nm wavelengths, faster switching, and high coloration efficiency. When assembled in a solid‐state symmetric electrochromic supercapacitor device, it exhibits an ultrahigh power density of 1066 mWcm −2 , high energy density of 246 mWhcm −2 , and high specific capacitance of 290 mFcm −2 at 0.2 mAcm −2 . A prepared prototype device displays red when fully charged, green when half charged, and blue when fully discharged. A clear evidence of optimizing the multifunctional performance of electrochromic supercapacitor by stoichiometrical tuning is presented along with demonstrating a device prototype of a 25 cm 2 large device for real‐life applications.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".