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Record W1607341991 · doi:10.1109/ceidp.1989.69560

Influence of the cohesive energy density of polymers and of the nature of metal-polymer interface on the contact charging of polymers

2003· article· en· W1607341991 on OpenAlexaff
J.‐P. Crine, Ashok K. Vijh

Bibliographic record

VenueConference on Electrical Insulation and Dielectric Phenomena · 2003
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsPolymerMetalMaterials scienceOxideElectrodeTriboelectric effectChemical physicsCharge (physics)Charge densityComposite materialPhysical chemistryChemistryPhysicsMetallurgy

Abstract

fetched live from OpenAlex

An attempt is made to show that there is a relation between the amount of transferred charge and the free energy (per equivalent) of oxide formation on the metal at a metal-polymer interface. The authors show that there is an approximate linear relation between the amount of charge transferred to polymers and their cohesive energy density (CED), for a given metal electrode. It is suggested that existing data can be described with two empirical linear relations. They imply that there is a triboelectric series among polymers, with negatively charged polymers having the lowest CED and those with high CED being positively charged; and the charge transfer mechanism is partially controlled by the oxide layer on the metal electrode. This means that noble metals (such as gold) are less affected by this phenomenon and therefore are more likely to give the true charge transferred to the polymer.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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.

How this classification was reachedexpand

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 score0.161
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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