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Record W2018344254 · doi:10.1002/pssc.200777301

Effects of ion‐beam bombardment and post‐annealing on the structural and magnetic properties of Fe/Pt multilayers

2007· article· en· W2018344254 on OpenAlexaff
J.‐Y. Guo, Caiyan Liu, Hao Ouyang, Kuo‐Wei Lin, C.‐J. Tsai, J. van Lierop, Nguyen N. Phuoc, T. Suzuki

Bibliographic record

VenuePhysica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics · 2007
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsUniversity of Manitoba
FundersNational Science Council
KeywordsAnnealing (glass)CoercivityMaterials scienceAnalytical Chemistry (journal)Hall effectGrain sizeGrain boundaryIonIon beamMicrostructureElectrical resistivity and conductivityChemistryCondensed matter physicsMetallurgy

Abstract

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Abstract We have investigated the structures and magnetic properties of as‐deposited and annealed [Pt(20 Å)/Fe(15 Å)] 10 /Pt(30 nm) multilayers under different End‐Hall voltages (V EH = 0 ∼ 150 V). The films deposited with no End‐Hall voltage consisted of Fe (a = 2.91 Å), Pt (3.96 Å), and disordered FePt (a = 3.82 Å) phases. Increasing V EH helps compact the individual Fe and Pt layers, while preventing FePt intermixing. However, increasing the annealing temperature to 550 °C resulted in an ordered f.c.t. FePt (a = 3.85 Å, c = 3.73 Å) phase for films deposited with V EH = 0V, and a mixture of Fe and Pt phases with grain coarsening was found for films prepared with V EH = 150 V. A drastic increase in coercivity (H c ∼ 4600 Oe) in the annealed sample (V EH = 0 V) is attributed to the formation of FePt phases. A decrease in H c with increasing V EH indicates that FePt formation may be suppressed via more energetic ion beam bombardment that resulted in the activation barrier of diffusion increasing dramatically. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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 score0.001
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 head0.044
GPT teacher head0.326
Teacher spread0.282 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

Explore more

Same venuePhysica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physicsSame topicMetallurgical and Alloy ProcessesFrench-language works237,207