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Record W2914913568 · doi:10.1103/physrevb.99.174421

Measuring the formation energy barrier of skyrmions in zinc-substituted <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>Cu</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>OSeO</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>

2019· article· lv· W2914913568 on OpenAlexfundno aff
M. N. Wilson, M. Crisanti, Christopher E. A. Barker, Aleš Štefančič, J. S. White, Max T. Birch, G. Balakrishnan, R. Cubitt, P. D. Hatton

Bibliographic record

VenuePhysical review. B./Physical review. B · 2019
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaEngineering and Physical Sciences Research CouncilPaul Scherrer InstitutSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsSkyrmionLattice (music)Energy (signal processing)PhysicsScatteringElectric fieldCondensed matter physicsMagnetic fieldMaterials scienceCrystallographyChemistryOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

We report small-angle neutron scattering (SANS) measurements of the skyrmion lattice in ${({\mathrm{Cu}}_{0.976}{\mathrm{Zn}}_{0.024})}_{2}{\mathrm{OSeO}}_{3}$ under the application of electric and magnetic fields. These measurements show an expansion of the skyrmion lattice stability region with electric field. Furthermore, using time-resolved SANS, we observe the slow formation of skyrmions after an electric or magnetic field is applied, which has not been observed in pristine ${\mathrm{Cu}}_{2}{\mathrm{OSeO}}_{3}$ crystals. The measured formation times are dramatically longer than the corresponding skyrmion annihilation times after the external field is removed, and increase exponentially from 100 s at 52.5 K to 10 000 s at 51.5 K. This thermally activated behavior indicates an energy barrier for skyrmion formation of 1.57(2) eV, the size of which demonstrates the huge cost for creating these complex chiral objects.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0040.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.2230.005

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 head0.020
GPT teacher head0.259
Teacher spread0.239 · 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; both teacher heads agree on what is shown here.

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

Citations24
Published2019
Admission routes1
Has abstractyes

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