Impact of Seawater Immersion of (Zn0.5Ni0.5Fe2O4)x(Bi, Pb)-2223 Composites
Why this work is in the frame
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Bibliographic record
Abstract
This work investigated the effects of adding Zn0.5Ni0.5Fe2O4 nanoparticles in (Bi, Pb)-2223 superconductor. The conventional solid-state reaction method was used to create (Zn0.5Ni0.5Fe2O4)x(Bi, Pb)-2223 composites (0.00 ≤ x < 0.40 wt. %). X-ray diffraction (XRD) revealed the main phase of the tetragonal (Bi, Pb)-2223. The morphology and elemental contents of the produced samples were investigated using scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX). When compared to the pure (Bi, Pb)-2223 sample, EDX verified that adding Zn0.5Ni0.5Fe2O4 to the superconductor improved the adsorption of saltwater components. Vickers microhardness (Hv) was measured at room temperature for 30 seconds with different applied forces (0.49 to 9.80 N) and different durations of the saltwater immersion (2, 6, 12, and 24 hours). Hv increased with increasing the immersion time in seawater from 2 to 24 hours. An optimum improvement (69.08%) was obtained for an addition of 0.04 wt. % of Zn0.5Ni0.5Fe2O4, where Hv values increased from 0.524 GPa to 0.886 GPa. With a deviation of less than 5%, the indentation-induced cracking (IIC) model provided the best theoretical analysis at the plateau limit region for measurements made before and after immersion in seawater.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it