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Record W4229953232 · doi:10.4071/isom-2012-wp51

Development of Silver Nanoparticle Ink for Printed Electronics

2012· article· en· W4229953232 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIMAPSource Proceedings · 2012
Typearticle
Languageen
FieldEngineering
TopicNanomaterials and Printing Technologies
Canadian institutionsXerox (Canada)
Fundersnot available
KeywordsPrinted electronicsMaterials scienceSilver nanoparticleInkwellFabricationElectronicsNanoparticleNanotechnologyConductivityElectrical conductorConductive inkTransistorFlexible electronicsConductorLayer (electronics)Composite materialElectrical engineeringChemistrySheet resistance

Abstract

fetched live from OpenAlex

Printable conductors with high conductivity would be critical for low-cost printed electronics. In view of printability, conductivity, and electrical stability, metal such as gold or silver derived from solution-deposited precursor compositions would be an ideal candidate. Xerox has been exploring the use of silver nanoparticles as conductor precursor composition for printed electronics. This paper reviews our research in the development of alkylamine-stabilized silver nanoparticles that can be sintered at low temperature (∼ 120 °C) for high conductivity (>10000 S/cm). Silver nanoparticle ink formulations based on these silver nanoparticles exhibit surface-energy independent printability which enables the fabrication of high-performance top-contact transistor devices, and self-assembly characteristic when printed on hydrophilic substrates which allows for large-area, defect-free source drain arrays to be printed with a narrow and uniform channel length.

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 score0.069
Threshold uncertainty score0.419

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 head0.014
GPT teacher head0.221
Teacher spread0.207 · 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