Engineering of second generation HTS coated conductor architecture to enhance the normal zone propagation velocity in various operating conditions
Bibliographic record
Abstract
Abstract The effects of operating conditions, critical current and stabilizer geometry on the normal zone propagation velocity (NZPV) of second generation (2G) high-temperature superconductor (HTS) coated conductors (CCs) are investigated using finite element simulations. The NZPV of tapes with a low interfacial resistance between the HTS and stabilizer layers are first compared with tapes with a current flow diverter (CFD) architecture. Our results indicates that the CFD concept increases the NZPV for the whole range of operating temperatures investigated (10–77 K). In particular, for an operating temperature of 77 K and an operating current of 0.9 I c , our numerical results indicate that the NZPV of a 2G HTS CC with a CFD architecture and a 2 μ m thick stabilizer layer could reach a value of 50 m s −1 . Furthermore, numerical simulations realized on the effect of the stabilizer geometry on the NZPV of 2G HTS CCs revealed that putting most of the stabilizer on the substrate side can enhance the NZPV by a factor of 7 or more, even for tape with thick stabilizer (20 μ m or more). This is particularly promising for improving quench detection in applications requiring a thick stabilizer such as superconducting coils.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".