Spin–Orbit-Lattice Locking in Strain-Engineered Sr2FeReO6 Double Perovskites
Bibliographic record
Abstract
Abstract Ferromagnetic double perovskites utilizing d-orbitals exhibit appealing physical properties due to their unique electronic band structures, which involve a combination of 3d and 5d orbitals. These magnetic and electronic properties can be also manipulated by strain, thus resulting in spin-orbit-lattice locking. Here, we demonstrate that strain-assisted spin-orbit-lattice locking can be a powerful tool for modulating the magnetic and electronic properties in Sr2FeReO6, a 3d–5d ferromagnetic double perovskite. Intriguingly, pliable Re orbitals along with the crystallogrphic asymmetry exhibit strain-sign-dependent reversal of orbital polarization, leading to variations in magnetic anisotropy and electronic properties. This work provides valuable insights into the tunability of magnetism and transport characteristics in 3d–5d ferromagnetic double perovskite for the development of spintronic devices.
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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".