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Record W4401895303 · doi:10.1021/acsanm.4c04113

Polymer-Passivated Silver Nanowire Transparent Electrodes in Flexible PEDOT:PSS-Based Electrochromic Devices

2024· article· en· W4401895303 on OpenAlexafffund
J. B. Atkinson, Issam Mjejri, Irene A. Goldthorpe, Aline Rougier

Bibliographic record

VenueACS Applied Nano Materials · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversity of Waterloo
FundersMitacs
KeywordsMaterials sciencePassivationPEDOT:PSSElectrochromismNanowireElectrochromic devicesElectrodeIndium tin oxideOptoelectronicsLayer (electronics)Sheet resistanceNanotechnology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.234
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2024
Admission routes2
Has abstractyes

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