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Record W4404101440 · doi:10.1109/tasc.2024.3492920

Meter-Scale REBCO Tapes With a Current Flow Diverter Architecture

2024· article· en· W4404101440 on OpenAlexafffund
Haïfa Ben Sâad, Delano Horn-Bourque, Simon-Mathieu Bergeron Hartman, Hamza Errabie, Christian Lacroix, Frédéric Sirois

Bibliographic record

VenueIEEE Transactions on Applied Superconductivity · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaMitacsCMC Microsystems
KeywordsMaterials scienceCurrent (fluid)Scale (ratio)Flow (mathematics)OptoelectronicsElectrical engineeringMechanics

Abstract

fetched live from OpenAlex

The current flow diverter (CFD) architecture allows increasing the normal zone propagation velocity (NZPV) of rare-earth barium copper oxide (REBCO) tapes. A continuous reel-to-reel CFD fabrication process has been developed to produce a high quality one meter long CFD REBCO tape. Standard scratch tests showed that the adhesion strength of the silver layer of a regular commercial tape and an annealed CFD tape are similar while being slightly lower in the case of a nonannealed CFD tape. Depending on the CFD architecture, experimental measurements revealed an increase in the NZPV of CFD tapes by a factor of 6 to 22 with respect to regular tapes, which is comparable to previous results obtained on short length CFD tapes (12 cm). A detailed analysis combining optical microscopy and numerical simulations revealed that the reel-to-reel CFD fabrication process minimizes geometrical imperfections, which results in a good NZPV uniformity over long lengths. This demonstration of the effectiveness of the CFD concept in long-length CFD tapes represents an important step toward the potential development of a safe and more reliable protection scheme in high field magnets and other high current carrying REBCO based devices.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.784
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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.

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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

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