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Magnetic anisotropies in GaAs/Fe(001) structures

2010· article· en· W1997975829 on OpenAlexaff
B. Kardasz, O. Mosendz, B. Heinrich, M. Przybylski, Jiirgen Kirschner

Bibliographic record

VenueJournal of Physics Conference Series · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsConversion electron mössbauer spectroscopyMaterials scienceAnisotropyPulsed laser depositionCondensed matter physicsMagnetic anisotropyDeposition (geology)SpectroscopyMössbauer spectroscopyThin filmCrystallographyChemistryMössbauer effectOpticsMagnetic fieldMagnetizationNanotechnologyPhysics

Abstract

fetched live from OpenAlex

Fe ultrathin films on GaAs(001) substrates were prepared by thermal deposition (TD) and pulse laser deposition (PLD) using MBE. Conversion electron Mössbauer spectroscopy (CEMS) was employed to investigate the atomic arrangement of Fe at the GaAs(001) interface. The magnetic anisotropies were studied by FMR. They have strong interface and bulk contributions which undergo several transitions with increasing film thickness. The most pronounced effect was observed in the in-plane interface uniaxial anisotropy K int ||,u . K int ||,u =0.10 ergs/cm 2 for the TD films thinner than 30ML. For thicker samples it decreased to K int ||,u =0.03 ergs/cm 2 which is equal to that for the PLD samples. It will be shown that these transitions in magnetic anisotropies are driven by B 1 and B 2 magneto-elastic energies.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.010
GPT teacher head0.222
Teacher spread0.212 · 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 designBench or experimental
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
Published2010
Admission routes1
Has abstractyes

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