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Record W2389983133

Formation of Metastable Structured Fe in Fe/V Multilayers and its Magnetic Properties

2006· article· en· W2389983133 on OpenAlexaff
Pan Feng

Bibliographic record

VenueCailiao kexue yu gongcheng xuebao · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsMaterials scienceMetastabilityMagnetic momentCrystalliteLattice constantCondensed matter physicsGrain sizeEpitaxyAnalytical Chemistry (journal)CrystallographyLayer (electronics)NanotechnologyMetallurgyDiffractionChemistry
DOInot available

Abstract

fetched live from OpenAlex

Metastable bcc Fe phases with various lattice constants were obtained in Fe/V multilayers by controlling their periodicities and alternate electronic beam vapor deposition.The formation of metastable Fe and its influence on magnetic properties were investigated in this study.Experimental results indicate that both Fe and V layers in the films consist of bcc polycrystalline with nanometer grain size.When Fe layer thickness(t_(Fe)) was below 2nm,Fe and V layers epitaxial-like grew each other due to the action of interface free energy,and a uniting bcc structure was formed in the multilayers.The lattice parameter of bcc phase increased with increasing ratio of t_V/t_(Fe).The atomic magnetic moment evolved remarkably with t_(Fe) and t_V,i.e.,for the Fe/V(6nm) multilayers,the average atomic magnetic moment got a minimum value at t_(Fe)=2nm,and it decreased with t_(Fe) when t_(Fe) was thinner 2nm and increased again for t_(Fe) thicker than 2nm. For the multilayers with t_(Fe)=(1.6)nm,the atomic magnetic moment reached a maximum value for t_V=3nm.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.937

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 communication0.0000.001
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 head0.012
GPT teacher head0.197
Teacher spread0.185 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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