Nanoscale Manipulating Silver Adatoms for Aqueous Plasmonic Electrochromic Devices
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Bibliographic record
Abstract
Abstract Plasmonic colors are attractive building blocks for flat panel displays due to their broad color gamut and unprecedented subwavelength resolution. The exploration of reversible silver (Ag) electrodeposition for switchable plasmonic colors is considered as a promising strategy toward dynamically reconfigurable color displays. To date, the current reversible Ag electrodeposition‐based electrochromic devices are energy‐inefficient as the platforms are realized in nonaqueous electrolytes that require high working voltage. However, the high working voltage in an aqueous electrolyte leads to uncontrolled nucleation growth of Ag particles, thus rendering its application for color displays impractical. Herein, the first demonstration of the manipulation of Ag adatoms for aqueous plasmonic electrochromic devices through underpotential deposition is presented. It is shown that the Ag nanoparticles underpotential deposition not only enables a reversible voltage‐activated wide range of dynamic plasmonic color change of 100 nm, but also facilitates size control of the grown Ag nanoparticles. These findings provide a favorable and novel platform for low energy‐consumption tunable photonic and nanoplasmonic devices, as well as a simple and reliable process for rapid, scalable, and green preparation of tunable plasmonic Ag nanoparticles.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it