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Record W1969636414 · doi:10.1063/1.4860938

First-principles survey on the doping of Ga in Nd2Fe14B

2014· article· en· W1969636414 on OpenAlexaff
Xubo Liu, Yilong Ma, Z. Altounian, Qiming Zhang, J. Ping Liu

Bibliographic record

VenueJournal of Applied Physics · 2014
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties of Alloys
Canadian institutionsMcGill University
Fundersnot available
KeywordsMagnetic momentSubstitution (logic)Atom (system on chip)DopingDensity functional theoryk-nearest neighbors algorithmMoment (physics)Materials scienceCondensed matter physicsChemistryCrystallographyComputational chemistryPhysics

Abstract

fetched live from OpenAlex

The preferential site substitution of Fe by Ga and its effect on magnetic moments have been studied in Nd2Fe14B by a first-principles density functional calculation. The calculated substitution energies of Ga are positive values and unfavorable for the Ga substitution at the sites of 8j2, 16k1, and 4e, while those are negative values and favorable for the Ga substitution at the sites of 4c, 8j1, and 16k2, in good agreement with the experimental results. The Ga atom shows a small induced negative moment with a size of about 0.2 μB. The magnetic moments of Fe with the nearest neighbor of Ga reduce by about 0.1–0.2 μB while the moments of Nd with the Ga nearest neighbors are enhanced slightly. These magnetic moment changes originate from the hybrid of the Ga 4p- with the Fe 3d- or the Nd 5d-electron states.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.040
GPT teacher head0.232
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations19
Published2014
Admission routes1
Has abstractyes

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