Study of electrical properties and the magnetoelectric effect in Ni<sub>0.2</sub>Co<sub>0.8</sub>Fe<sub>2</sub>O<sub>4</sub>+ PbZr<sub>0.8</sub>Ti<sub>0.2</sub>O<sub>3</sub>particulate composites
Bibliographic record
Abstract
The electric properties and magnetoelectric effect in magnetoelectric (ME) composites with composition ( x ) Ni 0.2 Co 0.8 Fe 2 O 4 + (1 − x )PbZr 0.8 Ti 0.2 O 3 (PZT—lead zirconate titanate) were studied. The presence of single- ( x = 0 and 1) and bi-phases ( x = 0.15, 0.30 and 0.45) in the composites was confirmed by x-ray diffraction (XRD) measurements. A structural analysis of the composites was carried out by scanning electron microscopy (SEM) measurements. Electric resistivity measurement as a function of temperature shows the semiconducting nature of the samples. The dielectric constant (ε′) and loss tangent (tanδ) decrease rapidly at lower frequencies and remain constant at higher frequencies for all the samples. An AC conductivity measurement was used to discuss the conduction mechanism in all the samples. The ME voltage coefficient (d E /d H ) H measured as a function of DC magnetic field gives the maximum ME output of 778 µV cm −1 Oe −1 for 15% of ferrite in the composites.
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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".