The effect of cooling rate on critical current density and microstructure of single grain bulk YBa<sub>2</sub>Cu<sub>3</sub>O<sub>y</sub> superconductors grown by IG process
Bibliographic record
Abstract
In the recent years, top-seeded infiltration-growth (TS-IG) process of YBa 2 Cu 3 O y (YBCO) had shown crucial and promising strengths as compared to melt growth process. The IG process lucidly clarified that a supply of liquid phase is more than essential for further growing large grains. Further, this experimentation aimed to enhance the performance of bulk YBCO superconducting materials, which were processed by IG process. The homemade Yb-123 and Y-211 were utilized in order to produce YBa 2 Cu 3 O y samples with the means of Yb-123+liquid (1:1) as a liquid source under a varied cooling rate. Moreover, single grain YBCO bulks were fabricated employing TS-IG process consisted of numerous varied cooling rates of 0.16 °C/h, 0.25 °C/h and 0.5 °C/h, respectively. In essence, all samples were oxygenated for 100 h with a constant pressure of 300 mL/min. Therefore, all samples' texture was determined by means of X-ray diffraction measurements. Microstructure analysis was performed by scanning electron microscopy for correlation of critical current density of TS-IG processed single grain YBCO bulks.
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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 | 0.001 |
| 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".