Origin of magnetic excitation gap in double perovskite <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>Sr</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>FeOsO</mml:mi><mml:mn>6</mml:mn></mml:msub></mml:mrow></mml:math>
Bibliographic record
Abstract
${\mathrm{Sr}}_{2}{\mathrm{FeOsO}}_{6}$ is an insulating double perovskite compound which undergoes antiferromagnetic transitions at 140 (${T}_{\text{N1}}$) and 67 K (${T}_{\text{N2}}$). To study the underlying electronic and magnetic interactions giving rise to this behavior we have performed inelastic neutron scattering (INS) and resonant inelastic x-ray scattering (RIXS) experiments on polycrystalline samples of ${\mathrm{Sr}}_{2}{\mathrm{FeOsO}}_{6}$. The INS data reveal that the spectrum of spin excitations remains ungapped below ${T}_{\text{N1}}$, however below ${T}_{\text{N2}}$ a gap of 6.8 meV develops. The RIXS data reveals splitting of the ${T}_{2g}$ multiplet consistent with that seen in other $5{d}^{3}$ osmium based double perovskites. Together these results suggest that spin-orbit coupling is important for ground state selection in $3d\text{\ensuremath{-}}5{d}^{3}$ double perovskite materials.
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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) | 0.002 | 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".