MétaCan
Menu
Back to cohort
Record W2066207312 · doi:10.1143/jjap.48.073002

Ion-Beam Bombarded SiO<sub>2</sub> Layer Effects on the Microstructure and Magnetism in FePt/SiO<sub>2</sub> Bilayers

2009· article· en· W2066207312 on OpenAlexaff
Ko‐Wei Lin, Yi-Lun Chiu, An‐Cheng Sun, Jen‐Hwa Hsu, J. van Lierop, T. Suzuki

Bibliographic record

VenueJapanese Journal of Applied Physics · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMaterials scienceCrystalliteBilayerAnnealing (glass)MicrostructureCoercivityGrain boundaryIon beam-assisted depositionGrain sizeOxygenIon beamIonThin filmAnalytical Chemistry (journal)CrystallographyCondensed matter physicsMetallurgyChemistryNanotechnologyMembrane

Abstract

fetched live from OpenAlex

We have shown that the structural and magnetic properties of FePt thin films were affected strongly by capped SiO2 layers prepared by ion-beam bombardment followed by post-annealing. Compared to the single fcc FePt phase in the as-deposited FePt/SiO2 bilayer (0% O2/Ar), annealing at 550 °C produced an ordered L 10 FePt phase with enhanced coercivity (∼14 kOe). Increasing the %O2/Ar during deposition of the top SiO2 layer resulted in smaller ordered FePt grains separated by grain boundaries of SiO2. We find that the (001) diffraction peak is broadened considerably with larger SiO2 deposition %O2/Ar and annealing, likely due to the induced strain. Our results indicate that FePt/SiO2 films deposited with lower %O2/Ar, the oxygen atoms created by the ion-beam bombardment act effectively to inhibit the FePt grain growth, whereas the excess oxygen atoms present during film deposition with higher %O2/Ar may induce a local strain on the FePt crystallites by occupying the interstitial sites in the FePt lattice.

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 categoriesMeta-epidemiology (narrow)
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 score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.194
Teacher spread0.189 · 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.

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

Citations4
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJapanese Journal of Applied PhysicsSame topicMagnetic properties of thin filmsFrench-language works237,207