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Record W2351054542

Surface Modification of Carbon Nanotubes and Their Application in Polymers

2008· article· en· W2351054542 on OpenAlex
Song Chang-wen, Yan Hongxia, Li Pengbo, Lei Ping-sen

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

VenueChina Plastics · 2008
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsScience North
Fundersnot available
KeywordsCarbon nanotubeMaterials sciencePolymerSurface modificationNanotechnologyNanostructureComposite materialChemical engineering
DOInot available

Abstract

fetched live from OpenAlex

Carbon nanotubes(CNTs)possess unique nanostructure and remarkable mechanical,physi- cal,chemical and electronic properties.These properties make them attractive in many scientific and technological fields such as electronic structures,polymer cowposites and biological systems.Polymer/ CNTs composites have attracted considerable attention of scientists in recent years.However,the poor dispersion of CNTs in organic solvent hinders the realization of their full potential.To overcome this ob- stacle,the surface modification of CNTs becomes essential.In this paper,the structure and property of CNTs were briefly introduced.The methods of the surface modification of CNTs including chemical reac- tion,surface activation and polymer encapsulation were reviewed.The mechanical,thermal,electronic and friction properties of polymer/CNTs composites were introduced.In addition,the research direction of the application of CNTs was predicted.

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 score0.045
Threshold uncertainty score0.368

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 head0.014
GPT teacher head0.228
Teacher spread0.215 · 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