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Record W2246619139 · doi:10.1139/cjp-2012-0411

Magnon transmission by an atomic interface in Ni–Fe and Fe–Ni systems

2013· article· en· W2246619139 on OpenAlexvenueno aff
Boualem Bourahla, Ouahiba Nafa, Antoine Khater

Bibliographic record

VenueCanadian Journal of Physics · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsnot available
Fundersnot available
KeywordsMagnonPhysicsCondensed matter physicsScatteringSpin waveFerromagnetismSpin (aerodynamics)Quantum mechanics

Abstract

fetched live from OpenAlex

This work describes spin wave localized states and coherent magnon transport in ferromagnetic systems. The model system, A–B, consists of a semi-infinite bcc ferromagnetically ordered lead B joined to another fcc semi-infinite ferromagnetically ordered lead A, oriented in the same direction. It is applied to the systems Ni–Fe and the inverse Fe–Ni. The magnon transmission, scattering coherently at the interface boundary, and the localized density of spin states are calculated and analyzed. Transmission and reflection scattering cross sections are determined from elements of a Landauer-type scattering matrix. The theoretical calculations are carried out using the matching procedure. The results highlight the localized spin states on the interface domain and their interactions with incident magnons. The calculated properties are presented for arbitrary incidence angles of the magnons on the boundary, for all accessible frequencies in the propagating bands, and for the interatomic magnetic exchange of the A and B subsystems, and their spin intensity, with no externally applied magnetic field. The spin waves associated with the surface and the interface, in layered magnetic structures, interact with each other leading to interesting magnetic behaviors and give symmetry properties of spin layers at a microscopic scale.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.950

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)0.0000.000

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 head0.008
GPT teacher head0.198
Teacher spread0.190 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations2
Published2013
Admission routes1
Has abstractyes

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