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Structural and Dielectric Properties of Manganese Ferrite Nanoparticles

2012· article· en· W2335765049 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2012
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Synthesis of Ferrites
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceCoprecipitationDielectricSpinelFerrite (magnet)Lattice constantManganeseSinteringAnalytical Chemistry (journal)ImpurityPorosityNanoparticleDiffractionExponential decayComposite materialMetallurgyNanotechnologyChemistryInorganic chemistryOptics

Abstract

fetched live from OpenAlex

In this work, Manganese ferrite nanoparticles of various compositions were reproducibly synthesized via coprecipitation route. Variation in structural and dielectric properties was studied by varying the sintering temperature, sintering time and manganese to iron ratio. Structural, compositional and phase properties were investigated by X-ray diffraction (XRD) technique which confirmed the pure normal spinel structure with no other phase/impurity. Particle size, Lattice constant, measured bulk density, X-ray density, Specific Surface Area and Porosity were determined by the standard formulae. Responses of Capacitance and Dielectric constant were studied at room temperature in the frequency range of 600Hz to 1MHz by LCR meter which both showed the exponential decay at low frequency while both became nearly independent of frequency in higher frequency ranges.

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 score0.008
Threshold uncertainty score0.258

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 studies0.0000.001
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 head0.033
GPT teacher head0.230
Teacher spread0.197 · 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