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Record W2391728762

Research Progress of Carbon Nanotubes Modified by Hyperbranched Polymer

2012· article· en· W2391728762 on OpenAlex
Chao Liu

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

VenueCailiao daobao · 2012
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsScience North
Fundersnot available
KeywordsMaterials scienceCarbon nanotubePolymerComposite materialToughnessCompatibility (geochemistry)Surface modificationRheologyChemical engineering
DOInot available

Abstract

fetched live from OpenAlex

Although carbon nanotubes(CNTs) have many good properties,such as high Young modulus,hardness and toughness,good electrical conductivity and thermal conductivity,its poor dispersibility have imposed great limitations to its applications and development.Hyperbranched polymer(HBP) has low viscosity,high rheological behaviour and good solubility,especially its terminal end with lots of active functional groups.So CNTs modified by HBP can not only improve dispersibility of CNTs,enhance the compatibility and interface adhesion between polymer matrix and CNTs,but also endow CNTs with new properties.So in this article,methods of hyperbranched-polymer-modified CNTs are summarized,including direct modification and surface-initiated polymerization and so on.The merit and demerit of each method and its prospects in the future are also pointed out.

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 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 score0.010
Threshold uncertainty score0.389

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 head0.063
GPT teacher head0.341
Teacher spread0.278 · 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