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Record W2766136681 · doi:10.1109/tasc.2017.2766134

Use of Laser Lithography for Striating 2G HTS Conductors for AC Loss Reduction

2017· article· en· W2766136681 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Applied Superconductivity · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsMcMaster University
FundersOffice of Naval Research
KeywordsMaterials scienceLithographyOptoelectronicsElectrical conductorResistConductorEtching (microfabrication)LaserStriationSuperconductivityYttrium barium copper oxideHigh-temperature superconductivityLaser ablationOpticsComposite materialCondensed matter physics

Abstract

fetched live from OpenAlex

A scalable laser lithographic process has been used to striate second-generation high-temperature superconducting coated conductors manufactured with a rolling-assisted biaxially textured substrate and metal organic deposition process by American Superconductor Corporation to reduce ac losses for electric power applications. The process involves laser patterning a resist coating and etching, which can be scaled up for commercial production. The results show that the critical current, I , is not degraded for striation widths greater than 150 μm and that the ac losses for the 150-μm wide striations are reduced from the unpatterned 1-cm wide conductor by a factor of 15 for a 60-mT perpendicular peak magnetic field at 50 Hz.

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.

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)
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 score0.270
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.004
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 head0.070
GPT teacher head0.289
Teacher spread0.219 · 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