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Record W2946988407 · doi:10.1088/2058-8585/ab2543

Transfer printing of silver nanowire conductive ink for e-textile applications

2019· article· en· W2946988407 on OpenAlex
Nupur Maheshwari, Marwa Abd‐Ellah, Irene A. Goldthorpe

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

VenueFlexible and Printed Electronics · 2019
Typearticle
Languageen
FieldEngineering
TopicNanomaterials and Printing Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInkwellTextileMaterials scienceTransfer printingElectrical conductorNanowireNanotechnologyComposite material

Abstract

fetched live from OpenAlex

Abstract Electrical conductivity of a textile is a necessity for e-textile devices as well as functionality such as electromagnetic shielding and static dissipation. Here, sheet resistances as low as 3 Ω sq −1 are achieved by transfer printing films of silver nanowire networks onto the surface of fabrics. Because the nanowires are only 40 nm thick and the film is an open mesh rather than a continuous film, the coating is lightweight, more mechanically flexible than other conductive fabrics, and at sparser nanowire densities does not obstruct the pattern of the textile underneath. The open spaces in the mesh structure also allow adhesive to permeate through the film, permitting the coating to be applied through an easy, industrially compatible transfer printing process. It is demonstrated that the coating can be patterned and used as device interconnections, and has the ability to shield electromagnetic radiation and heat fabric.

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 score0.470

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 head0.007
GPT teacher head0.215
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