Microstructure and superconducting properties of Bi-2212/Ag tapes
Bibliographic record
Abstract
In order to understand the effects of processing parameters on the formation of Bi-2212 phase and to improve superconducting properties, Bi2212 (nominal composition Bi/sub 2/Sr/sub 2/Ca/sub 1/Cu/sub 2/O/sub x/), sheathed with silver was fabricated and thermo-mechanically treated for this study. Scanning electron microscopy was employed to investigate the phases and microstructure at different stages of the Bi-2212 formation and in the final materials. A SQUID magnetometer was used to characterize the T/sub c/ of the conductors. Voltage-current (V-I) characteristics were measured with a standard four-probe method at 77 K in different magnetic fields in order to improve the correlation of magnetic properties to microstructural properties. The critical current density is /spl sim/15000 A/cm/sup 2/ at 77 K self field. The critical current distribution in the conductors was studied by computing the second differential of the VI curves and the correlation between the microstructure and the second differential was analyzed. The current transfer to the metal sheath and the effect of the sheath on the shape of the VI curve are discussed.
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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".