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Record W2768188741 · doi:10.1088/2058-8585/aa9c9b

Stretchable electronics: recent progress in the preparation of stretchable and self-healing semiconducting conjugated polymers

2017· article· en· W2768188741 on OpenAlex
Michael U. Ocheje, Brynn Petras Charron, Audithya Nyayachavadi, Simon Rondeau‐Gagné

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

VenueFlexible and Printed Electronics · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanotechnologyConjugated systemMaterials scienceElectronicsPolymerOrganic electronicsStretchable electronicsSelf-healing materialSelf-healingTransistorComposite materialEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

With the recent development of printable organic electronics and flexible devices, new strategies are developed and investigated to design conjugated semiconducting polymers with innovative properties such as molecular stretchability and self-healing. This review covers the most recent progress in the preparation of these new materials, with a special emphasis on non-covalent dynamic bonding and other key design elements to achieve such properties in conjugated systems. New strategies and recent developments in high performance fully stretchable organic devices are also discussed. In contrast to previously reported review articles on stretchable electronics, this review focuses on the chemistry of the semiconductors and emphasizes the importance of chemical design in conjugated polymers for achieving stretchability and self-healing capabilities.

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 score0.270
Threshold uncertainty score0.601

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 head0.016
GPT teacher head0.279
Teacher spread0.263 · 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