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Record W2901178008 · doi:10.25071/10315/35413

High Density Polyethylene/Carbon Nanotube Nanocomposite Foams: Electrical Conductivity And Percolation Threshold

2018· article· en· W2901178008 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

VenueProgress in Canadian Mechanical Engineering · 2018
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanocompositeCarbon nanotubePercolation thresholdMaterials scienceComposite materialPolyethylenePercolation (cognitive psychology)Electrical resistivity and conductivityConductivityNanotubeChemistry

Abstract

fetched live from OpenAlex

Electrically conductive polymer/carbon nanotube nanocomposites have drawn attention for a wide range of applications because of their light weight, good chemical resistance, ease of processing, and tunable multifunctional properties. High density polyethylene (HDPE)/multiwalled carbon nanotube (MWCNT) nanocomposites and their foams were fabricated, and their electrical properties were explored in this research. Parametric studies were conducted to investigate the effects of initial MWCNT loading and processing conditions on the foaming behaviors of HDPE/MWCNT nanocomposites. Experimental results revealed that both the initial MWCNT loading and foam morphology were governing factors to tune the electrical conductivity and the percolation threshold of HDPE/MWCNT nanocomposites.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.008
GPT teacher head0.225
Teacher spread0.218 · 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