MétaCan
Menu
Back to cohort
Record W4295867037 · doi:10.1155/2022/5437954

Microarticstructural, Spectroscopic, and Magnetic Analysis of Multiwalled Carbon Nanotubes Embedded in Poly (o-aminophenol) Matrices

2022· article· en· W4295867037 on OpenAlexfundno aff
Sonika Sonika, Sushil Kumar Verma, J. Saha, Rim M. Alsharabi, Shailendra Rajput

Bibliographic record

VenueAdvances in Materials Science and Engineering · 2022
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsnot available
FundersUniversity of WaterlooDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsMaterials scienceNanocompositeNanocrystalline materialCarbon nanotubePolymerizationDopingAbsorption (acoustics)Chemical engineeringHysteresisNanotechnologyComposite materialPolymerOptoelectronics

Abstract

fetched live from OpenAlex

This paper describes a one-step chemically produced multiwalled carbon nanotubes/poly-ortho-aminophenol (MWCNTs/PoAP) nanocomposite film production process using in-situ oxidative polymerization. The <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:msub> <a:mrow> <a:mtext>CoCl</a:mtext> </a:mrow> <a:mrow> <a:mn>2</a:mn> </a:mrow> </a:msub> </a:math> -doped nanocomposites exhibit good stability and increased magnetic performance. The morphological analysis revealed that PoAP deposits on the surface of the nanoparticle result in the creation of a fibrous crystal-like structure. The vibrational spectra show that there is a substantial interaction between PoAP and MWCNT/MWCNT[-COOH]. The introduction of nanocrystalline MWCNTS increases PoAP’s UV absorption and causes a blue shift in π-polaron absorption. The magnetic study of Co-doped MWCNTs/PoAP nanocomposites has shown a marked reduction in the hysteresis behavior, indicating significant hole doping associated with the oxygen functional groups on the surface of xidized carbon ’nanotubes. The syntheses of nanocomposites are silent features of the work with implications in crystal engineering and nanocomposite design for various applications.

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 score0.022
Threshold uncertainty score0.385

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 head0.005
GPT teacher head0.236
Teacher spread0.231 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Materials Science and EngineeringSame topicConducting polymers and applicationsFrench-language works237,207