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Record W2350369032

Influence of Ta_2O_5 Addition on the Properties of MnZn Power Ferrites

2009· article· en· W2350369032 on OpenAlex
Le Li

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

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Synthesis of Ferrites
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsMaterials sciencePorositySaturation (graph theory)MicrostructureElectrical resistivity and conductivityPermeability (electromagnetism)CeramicGrain sizeComposite materialPower densityPower (physics)Electrical engineeringThermodynamics
DOInot available

Abstract

fetched live from OpenAlex

MnZn ferrites with the chemical formula Mn0.68Zn0.25Fe2.07O4 were prepared by conventional ceramic techniques.The influence of Ta2O5 addition on the microstructure and magnetic properties of MnZn ferrites was investigated.When the Ta2O5 addition is less than 0.04wt%,the grain size increases with the increase of Ta2O5 concentration,the initial permeability,saturation magnetic flux density and DC resistivity increase,the power losses and porosity decrease.However,excessive Ta2O5 addition(0.04wt%) results in the exaggerated grain growth and porosity increase which make the initial permeability,saturation magnetic flux density and DC resistivity decrease,and the power losses increase.When the Ta2O5 addition is 0.04wt%,the initial permeability,saturation magnetic flux density and DC resistivity reach the maximum,the power losses and porosity reach the minimum.

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 categoriesInsufficient payload (model declined to judge)
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 score0.013
Threshold uncertainty score0.998

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)0.0030.000

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 head0.018
GPT teacher head0.201
Teacher spread0.183 · 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