Material, Electrical and Optical Analyses of Electrodeposited Electrochromatic NiO Film with Heat Treatment
Bibliographic record
Abstract
In this study, we propose two-step method of electrochemical deposition and heat treatment to fabricate electrochromic NiO films. A precursor NiO film was electro-deposited on fluorine-doped tin oxide (FTO). Then, the deposited film was crystallized with heat treatment. X-ray diffraction (XRD) was used to examine the crystalline structure and scanning electron microscope (SEM) was used to analyze the surface morphologyfor the film in different deposition and heat treatment conditions. Moreover, the cyclic voltammetry (CV) and optical performance of the film was evaluated. Based on multiple material and optical analysis, the film grown with plating solution with a pH value of 8.0 treated by heat treatment at 500ºC was the most desirable electro chromatic film. The fabricated NiO electrochromic film shows promise for use in future device 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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".