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Record W4401994844 · doi:10.53063/synsint.2024.43236

Synthesis and characterization of silver nanowires with high aspect ratio for transparent coating applications

2024· article· en· W4401994844 on OpenAlex
Ali Borchloo, Reza Shoja Razavi, Hamed Naderi-Samani

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSynthesis and Sintering · 2024
Typearticle
Languageen
FieldEngineering
TopicNanomaterials and Printing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSilver nitrateMaterials scienceScanning electron microscopeFourier transform infrared spectroscopyConductive inkEthylene glycolChemical engineeringAnalytical Chemistry (journal)SolventNanotechnologyComposite materialSheet resistanceChemistryChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, the polyol method was used for the synthesis of AgNWs for the preparation of transparent and conductive coatings. The aim is to synthesize silver nanowires with a one-dimensional morphology and a diameter of less than 100 nm and to formulate a conductive ink containing silver nanowires with high stability under environmental conditions and an easy synthesis method. The experimental design and determination of random samples were performed using Design Expert software. In general, three variables of polyvinyl pyrrolidone (PVP) in the range of 0.06–0.8 g, silver nitrate precursor in the range of 0.04-2.64 g, and the molar ratio of PVP to silver nitrate were selected, and the constants were reaction temperature, reaction time, solvent (EG), and mixing rate. random samples, proposed by the software, were examined. The synthesized AgNWs were characterized and evaluated using X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), scanning electron microscopy (SEM), and Fourier transform infrared analysis. (FT-IR), and DRS analysis used the Light transmittance coefficient. According to the results of XRD, FE-SEM, and SEM analyses, among the eight samples, S8 had a minimum diameter of 77.3 nm and an average length of 750 nm, and it was selected for further research. Then, the production of conductive ink was put on the agenda, eight conductive inks were made, and the optimal sample (S8) was identified at 3.75% by weight and the optimal molar ratio for ethanol and ethylene glycol solvents. The optimal ink was characterized and evaluated using visible-ultraviolet (UV-Vis), simultaneous thermal (TGA-DTA), and FE-SEM spectroscopic analyses. Conductive ink was then applied to the glass substrate. In addition, the EMI shielding efficiency in terms of (dB) using the surface electrical resistance of the conductive ink applied to the S5 sample was found to be 75.17 dB in the best case. Finally, the electrical resistance, transparency, and EMI shielding efficiency of the S8 sample were obtained as (2.8 Ω), (77%) and (44.35 dB).

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.

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 categoriesnone
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 score0.067
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.013
GPT teacher head0.211
Teacher spread0.198 · 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