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Record W2077432044 · doi:10.5539/ijc.v2n1p161

Fabrication and Characterization of LaCoO3 Nanofibers via an Electrospinning Technique

2010· article· en· W2077432044 on OpenAlexvenueno aff
Jinxian Wang, Xiangting Dong, Zhen Qu, Guixia Liu, Wensheng Yu

Bibliographic record

VenueInternational Journal of Chemistry · 2010
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsnot available
FundersEducation Department of Jilin ProvincePeople's Government of Jilin ProvinceMinistry of Education of the People's Republic of China
KeywordsNanofiberElectrospinningCalcinationPolyvinyl alcoholComposite numberFourier transform infrared spectroscopyAmorphous solidChemistryChemical engineeringDifferential thermal analysisMaterials scienceNanotechnologyComposite materialPolymerDiffractionCrystallographyCatalysisOrganic chemistryOptics

Abstract

fetched live from OpenAlex

Polyvinyl alcohol(PVA)/[La(NO3)3+Co(CH3COO)2] composite nanofibers were prepared by combination of sol-gelmethod and electrospinning technique, and crystalline LaCoO3 nanofibers were fabricated by calcination of thePVA/[La(NO3)3+Co(CH3COO)2] composite nanofibers at 600ºC for 10h. The samples were characterized by usingthermogravimetric-differential thermal analysis(TG-DTA), X-ray diffraction spectrometry(XRD), scanning electronmicroscopy(SEM) and Fourier transform infrared spectrometry(FTIR). The results show thatPVA/[La(NO3)3+Co(CH3COO)2] composite nanofibers are amorphous in structure, and pure phase LaCoO3 nanofibersare trigonal in structure with space group R3m. The surface of as-prepared composite nanofibers is smooth, and thediameter is about 200nm. The diameter of LaCoO3 nanofibers is smaller than that of the relevant composite fibers. Thesurface of the LaCoO3 nanofibers becomes coarse with the increase of calcination temperatures. The diameter ofLaCoO3 nanofibers is ca. 80nm, and the length is greater than 100?m. The mass of the sample remains constant whenthe temperature is above 500ºC, and the total mass loss percentage is 83%. Possible formation mechanism of LaCoO3nanofibers is preliminarily proposed.

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 score0.006
Threshold uncertainty score0.268

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 head0.005
GPT teacher head0.241
Teacher spread0.235 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

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