MétaCan
Menu
Back to cohort
Record W1990115544 · doi:10.2320/jinstmet.69.962

Magnetic Structure Analysis of Nd-Fe-B Based Nanocomposite Magnets by Electron Holography

2005· article· en· W1990115544 on OpenAlex
Daisuke Shindo, Hyun Soon Park, H. Kanekiyo, S. Hirosawa

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

VenueJournal of the Japan Institute of Metals and Materials · 2005
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties of Alloys
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsMaterials scienceCoercivityRemanenceElectron holographyMagnetNanocompositeCondensed matter physicsMagnetic fluxAnisotropyElectronFlux (metallurgy)Magnetic fieldOpticsNanotechnologyMetallurgyTransmission electron microscopyPhysicsMagnetization

Abstract

fetched live from OpenAlex

Magnetic flux distribution in Nd-Fe-B based nanocomposite magnets was investigated at nanometer scale by electron holography. Both Nd4.5Fe77B18.5 and Nd-Fe-B-Ti-C, the latter of which was newly developed and commercialized under tradename of SPRAX, are found to consist of hard and soft magnetic grains of 10~30 nm in diameter. Through the comparison of reconstructed phase images of Nd4.5Fe77B18.5 and Nd-Fe-B-Ti-C, it is found that the lines of magnetic flux of Nd-Fe-B-Ti-C fluctuate more largely than Nd4.5Fe77B18.5 in both demagnetized and remanent states. The fluctuation in the distribution of lines of magnetic flux is considered to result from the randomness in the crystal orientation of the hard magnetic grains with high anisotropy. It is also pointed out that the fluctuated distribution of lines of magnetic flux is consistent with the high coercivity and high maximum energy product of Nd-Fe-B-Ti-C.

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 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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.210
Teacher spread0.205 · 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