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Record W2960198329 · doi:10.18280/rcma.290107

Microwave Absorbing Features of Ce2(Co0.3Fe0.7)17/Ferrite Coating Material

2019· article· fr· W2960198329 on OpenAlexvenueno aff
Jianqi Wang, Liancheng Lu

Bibliographic record

VenueRevue des composites et des matériaux avancés · 2019
Typearticle
Languagefr
FieldMaterials Science
TopicElectromagnetic wave absorption materials
Canadian institutionsnot available
Fundersnot available
KeywordsFerrite (magnet)Materials scienceCoatingMetallurgyMicrowaveComposite materialEngineering

Abstract

fetched live from OpenAlex

This paper attempts to combine Ce2(Co0.3Fe0.7)17 and Co2Z-type hexagonal ferrite (hereinafter referred to the ferrite) into a composite with excellent absorbing properties. Firstly, the permittivity and permeability spectra of Ce2(Co0.3Fe0.7)17/epoxy resin composite were investigated, so were those of the ferrite/epoxy resin composite. On this basis, the author prepared coaxial Ce2(Co0.3Fe0.7)17/ferrite/epoxy resin composite specimens at different volume ratios of the Ce2(Co0.3Fe0.7)17 particles and the ferrite particles, and also studied their permittivity and permeability spectra in the frequency range of 8~18 GHz. In this way, the optimal volume ratios of both types of particles were determined for the composite. Through the analysis, it is concluded that, based on the matrix of epoxy resin and polyamide, the singlelayer plate absorber specimens can control the reflection loss within -10dB across the frequency range 8~18GHz, when the thickness is 1.1 mm, the fraction volume of Ce2(Co0.3Fe0.7)17 is 25 % and the fraction volume of ferrite is 20 %.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.209
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.002

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 head0.036
GPT teacher head0.276
Teacher spread0.240 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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