MétaCan
Menu
Back to cohort
Record W4382065252 · doi:10.1021/acsaelm.3c00509

Laser Writing of Cu–Ag Alloy Flexible Electrodes with Excellent Oxidation and Electrochemical Migration Resistances

2023· article· en· W4382065252 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Applied Electronic Materials · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceBimetallic stripAlloyElectrochemistryFabricationElectrical conductorLaserElectrodeControllabilityConductivityNanotechnologyElectrical resistivity and conductivityElectronicsMetalOptoelectronicsComposite materialMetallurgyElectrical engineeringOpticsChemistry

Abstract

fetched live from OpenAlex

Bimetallic Cu–Ag conductive structures hold great promise in integrating flexible electronics, but fabrication of these structures requires complex multistep processes with poor controllability. Herein, we develop a one-step laser writing process for manufacturing the flexible Cu–Ag conductive structure from a metallic salt. The effect of laser parameters and precursor traits on the writing process, as well as the joining mechanism of Cu–Ag nanostructures, has been discussed systematically. The fabricated Cu–Ag structure not only exhibits remarkable conductivity with a resistivity of ∼8 μΩ cm but also has excellent oxidation and electrochemical migration resistances. Flexible electronic devices fabricated from these written structures, such as the flexible heater, were demonstrated as a proof of concept, thereby demonstrating excellent stability even in high-humidity-and-temperature working conditions.

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 score0.004
Threshold uncertainty score0.876

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 head0.207
Teacher spread0.200 · 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