Exchange Bias in La0.67Sr0.33MnO3/YFeO3 Ferromagnet/Antiferromagnet Multilayer Heterostructures
Bibliographic record
Abstract
Exchange bias (EB), manifested as a hysteresis-loop offset after field-cooling,is demonstrated in perovskite-structured ferromagnet/antiferromagnet(La 0.67 Sr 0.33 MnO3 /YFeO3 )n heterostructures grown on (100) SrTiO3substrates. Bilayer samples show an EB of 306 Oe at 50 K, whereas multilayerswith five layers exhibit an exchange bias of up to 424 Oe at 50 K. A spin valveconsisting of La 0.67 Sr 0.33 MnO3 /SrTiO3 /La 0.67 Sr 0.33 MnO3 /YFeO3 shows stableremanent configurations resulting from pinning of the upper La0.67 Sr 0.33 MnO3layer by the YFeO3 . In contrast, EB is not observed on (111)-oriented SrTiO3substrates due to interface roughening. These results demonstrate YFeO3 asan alternative orthoferrite antiferromagnet compared to BiFeO 3 and LaFeO3for incorporation into exchange-biased heterostructures.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.015 | 0.006 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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; both teacher heads agree on what is shown here.
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".