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Record W1992829290 · doi:10.1063/1.1540135

Growth and magnetic properties of epitaxial ultrathin Ni films on Cu(111) using Sb as a surfactant

2003· article· en· W1992829290 on OpenAlexaff
Frank Matthes, A. A. Rzhevskii, L.-N. Tong, D. Venus, Claus M. Schneider

Bibliographic record

VenueJournal of Applied Physics · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsMcMaster UniversityBrockhouse Institute for Materials Research
Fundersnot available
KeywordsElectron diffractionEpitaxyMaterials scienceLow-energy electron diffractionMagnetizationMonolayerCondensed matter physicsDiffractionFerromagnetismMagnetismLayer (electronics)Reflection high-energy electron diffractionThin filmKerr effectAnalytical Chemistry (journal)CrystallographyOpticsNanotechnologyChemistryMagnetic field

Abstract

fetched live from OpenAlex

We studied the growth and magnetism of ultrathin Ni films on the (111) surface of Cu using Sb as a surfactant. For this purpose we deposited Sb under UHV conditions at room temperature onto the Cu surface prior to the Ni film growth. When the Sb precoverage exceeded a certain threshold [0.7 monolayers (ML)], pronounced intensity oscillations of the medium energy electron diffraction signal indicated a layer-by-layer growth of the deposited Ni films. Low energy electron diffraction patterns of the Ni films revealed a hexagonal structure with a threefold symmetry. Using this approach we prepared high quality epitaxial Ni(111) films up to a thickness of 20 ML and performed in situ magneto-optical Kerr measurements. At a thickness of 7–8 ML an inverse spin reorientation transition occurs from an in-plane magnetization at lower thicknesses to an out-of-plane orientation for higher thicknesses.

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 score0.030
Threshold uncertainty score0.796

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 communication0.0000.000
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 head0.016
GPT teacher head0.210
Teacher spread0.193 · 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

Citations7
Published2003
Admission routes1
Has abstractyes

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