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Record W4206013125 · doi:10.1103/physrevb.104.134415

Confined magnons

2021· article· en· W4206013125 on OpenAlexafffund
Seamus Beairsto, M. Cazayous, R. S. Fishman, Rogério de Sousa

Bibliographic record

VenuePhysical review. B./Physical review. B · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsUniversity of Victoria
FundersDivision of Materials Sciences and EngineeringBasic Energy SciencesNatural Sciences and Engineering Research Council of CanadaU.S. Department of Energy
KeywordsMagnonCondensed matter physicsPhysicsSpin waveAntiferromagnetismScatteringDelocalized electronFerromagnetismNeutron scatteringAnisotropyQuantum mechanics

Abstract

fetched live from OpenAlex

The common belief is that excitations of magnets are always deconfined ``bulk'' spin waves spread out in space, whose quanta are called magnons. In reality all materials have surfaces and interfaces that break translation symmetry, giving rise to excitations that are confined to them, in addition to the deconfined ones. The conditions for the existence of these confined magnons are still unknown. The authors show that extra magnetic anisotropy at the surface or interface plays a key role in magnon confinement, and obtain a characteristic length scale for their spatial localization. Calculations of the spin-scattering function show how confined magnons can be observed with neutron, electron, and photon scattering experiments in a wide variety of materials. The accompanying image shows the heat map for magnon energy versus wave vector in ferromagnetic and antiferromagnetic materials. The confined magnon appears as a flat dispersion (delocalized in $q$ space, localized in real space) with energy below the lowest bulk mode.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.005

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 head0.016
GPT teacher head0.344
Teacher spread0.327 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations8
Published2021
Admission routes2
Has abstractyes

Explore more

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