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Record W4416640035 · doi:10.1103/qhn7-3wv8

Superconducting meander-line surface coil for NMR spectroscopy of nanoscale thin films

2025· article· en· W4416640035 on OpenAlexafffund
Louis Beaudoin, A. Verrier, Youcef A. Bioud, Mathieu Massicotte, Bertrand Reulet, J. A. Quilliam

Bibliographic record

VenuePhysical Review Applied · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum and electron transport phenomena
Canadian institutionsUniversité de Sherbrooke
FundersFonds de recherche du Québec – Nature et technologiesUniversité de SherbrookeNatural Sciences and Engineering Research Council of CanadaCanada First Research Excellence FundCanada Research ChairsCanada Foundation for Innovation
KeywordsThin filmSuperconductivityNanoscopic scaleMagnetismElectromagnetic coilNuclear magnetic resonance spectroscopySpectroscopySample (material)Electron

Abstract

fetched live from OpenAlex

Nuclear magnetic resonance is a valuable technique for studying a wide variety of quantum materials, but the small magnetic moments involved make it particularly challenging to apply to thin films or two-dimensional materials. This work implements a superconducting meander-line surface coil that achieves a high filling factor, even for very thin samples, and enables one to obtain an NMR signal and perform spin-echo measurements on a sample of boron just 150 nm thick. The article also provides a roadmap for improving this approach to achieve measurements in the single-layer limit, which is quite promising for the study of magnetism and correlated electrons in two-dimensional systems.

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 score0.301
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.300
Teacher spread0.283 · 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
Published2025
Admission routes2
Has abstractyes

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