Temporary and permanent enhancement of the magnetoimpedance response of amorphous wires
Bibliographic record
Abstract
Melt extracted amorphous wires have a predominantly helical anisotropy due to residual tensile and torsional stresses quenched in the wire during casting. Consequently, their magnetoimpedance (MI) response is inadequate for linear detection of magnetic field. Several methods are used to accomplish this, both temporary (dc current biasing of the wire, tensile stress applied to the wire, or both) and permanent (current annealing of the wire, with or without applying a tensile stress). Their purpose is to optimize the MI response of these wires. The transverse (circumferential) anisotropy of the wire reaches an optimum in magnitude and orientation when a temporary method is used. This optimum can be quenched in the material using a permanent method. The MI response is characterized with the help of three criteria: sensitivity, figure of merit and peak amplitude per wire unit length. Magnetic field sensors with sensitivities as high as 75V∕(Tmm), figures of merit of about 0.5ΩT∕m, and peak amplitudes of 5Ω∕mm were obtained as a result of the enhancement of the MI response.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".