Polymer-Passivated Silver Nanowire Transparent Electrodes in Flexible PEDOT:PSS-Based Electrochromic Devices
Bibliographic record
Abstract
Silver nanowire networks are a promising replacement to indium tin oxide as transparent electrodes, which are necessary components of electrochromic devices. However, silver nanowires suffer from a short lifetime due to silver corrosion. Unlike many nanowire electrode passivation materials studied in the literature, the current work focuses on an inexpensive nonconductive passivation layer, allowing the utilization of transparent polymers. Herein, a coating of a thin layer of polyurethane (PU) was used to prevent corrosion and to limit the electrode sheet resistance to an increase of only 1.8× after 6 months. PU is cheap and easy to deposit, 96% transparent across the visible and NIR regions (Atkinson, J. “Silver Nanowire Networks in Electrochromic Devices”, Thesis, University of Waterloo, Waterloo, 2023), increases the mechanical flexibility of nanowire electrodes, improves nanowire adhesion, and decreases surface roughness by an average of 15 nm. The PU-passivated nanowire electrodes are integrated into mechanically flexible symmetric PEDOT:PSS-based electrochromic displays. Compared to similar devices based on ITO electrodes, the PU-passivated nanowire-based devices show higher color modulation, shorter switching times, a larger change in reflectance in the visible properties, and a longer lifetime. Most noteworthy are their far superior mechanical properties. After 50 bending cycles, the nanowire-based devices had little change in performance, whereas ITO-based devices no longer worked.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".