Magnetotransport Properties of Co-Au Granular Alloys
Bibliographic record
Abstract
A series of Cox-Au1-x granular alloys was grown using pulsed-current electrodeposition on polyimide substrates.The relationship between the giant magnetoresistance effect, saturation magnetization, and grain size was examined as the deposition current density and annealing temperatures were changed.A maximum magnetoresistance (MR) ratio of 4.5 % was obtained.The magnetization and ferromagnetic grain size of the as-deposited and annealed alloy films were examined against the deposition current density.The saturation magnetization decreased as the composition of Au was increased for both the alloys deposited at the current densities of 1 and 5 mA/cm2.The total magnetic moment further decreased on annealing.The grain size is found to be highly influenced by both the deposition current density and temperature.A low temperature magnetization measurement suggested that the ferromagnetic grain size decreases with increase in current densities.For the annealed samples, the ferromagnetic grain sizes were found to be dispersed in the Au matrix with different diameters.The decrease in magnetic moments with annealing is correlated with the grain size of the Co and its distribution in the gold matrix.The MR ratio increased with the increase in the deposition current density as a result of the formation of smaller grain size at higher deposition current densities.
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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".