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Record W2889803331 · doi:10.1103/physrevb.100.014425

Increased lifetime of metastable skyrmions by controlled doping

2019· article· en· W2889803331 on OpenAlexfundno aff
Max T. Birch, R. Takagi, S. Seki, M. N. Wilson, Fumitaka Kagawa, Aleš Štefančič, G. Balakrishnan, R. Fan, P. Steadman, Christopher J. Ottley, M. Crisanti, R. Cubitt, Tom Lancaster, Yoshinori Tokura, P. D. Hatton

Bibliographic record

VenuePhysical review. B./Physical review. B · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsnot available
FundersPrecursory Research for Embryonic Science and TechnologyEngineering and Physical Sciences Research CouncilRIKENNatural Sciences and Engineering Research Council of CanadaJapan Society for the Promotion of ScienceJapan Science and Technology CorporationDiamond Light Source
KeywordsSkyrmionMetastabilityDopantCondensed matter physicsSpinsDopingMagnetic fieldMaterials scienceMagnetPopulationPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

Metastable magnetic skyrmions possess a nonzero temperature-dependent lifetime, which poses an obstacle for their application in devices. Here, the authors show that, for skyrmions in Cu${}_{2}$OSeO${}_{3}$, a small quantity of Zn substitution significantly increases this lifetime, dramatically reducing the cooling rate required to create a substantial metastable population. Time-resolved AC magnetometry measurements suggest that the effect is due to an increase in the pinning-site density that leads to slowing-down the unwinding of the skyrmion lattice, rather than to an alteration of the energy barrier.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.008
GPT teacher head0.311
Teacher spread0.303 · 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 designTheoretical or conceptual
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

Citations46
Published2019
Admission routes1
Has abstractyes

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