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Record W2038454155 · doi:10.1109/tasc.2013.2239696

Normal Zone Propagation Velocity in 2G HTS Coated Conductor With High Interfacial Resistance

2013· article· en· W2038454155 on OpenAlexaff
Christian Lacroix, Jean-Hughes Fournier-Lupien, Kevin McMeekin, Frédéric Sirois

Bibliographic record

VenueIEEE Transactions on Applied Superconductivity · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsConductorMaterials scienceElectrical conductorSuperconductivityAmplitudeHigh-temperature superconductivityStabilizer (aeronautics)Condensed matter physicsComposite materialOpticsPhysics

Abstract

fetched live from OpenAlex

A fast normal zone propagation velocity (NZPV) in second-generation (2G) high-temperature superconductor (HTS) coated conductors (CC) is desirable in order to prevent the appearance of destructive hot spots upon a local quench. It was predicted theoretically that an increase of the interfacial resistance between the superconductor and the stabilizer would enhance the NZPV of 2G HTS CC due to the longer current transfer length between the superconductor and the stabilizer. In this paper, the dependence on current amplitude of the NZPV of 2G HTS CC having different interfacial resistances was measured experimentally. Our results indicate that the NZPV is enhanced by two orders of magnitude when the interfacial resistance is increased by three orders of magnitude.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.011
GPT teacher head0.202
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations36
Published2013
Admission routes1
Has abstractyes

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