Zeeman-ladder analysis of the Raman magnon energies in the quasi-one-dimensional antiferromagnet <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>Rb</mml:mi><mml:mi>Co</mml:mi><mml:msub><mml:mi>Cl</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>
Bibliographic record
Abstract
Interest in the spin-$\frac{1}{2}$ hexagonal perovskites, typified by $\mathrm{Cs}\mathrm{Co}{\mathrm{Cl}}_{3}$ and including $\mathrm{Rb}\mathrm{Co}{\mathrm{Cl}}_{3}$, has persisted over several decades due to their unusual Ising-chain-like antiferromagnetic ordering. Despite considerable theoretical and experimental work, evidence of the origin of the magnetic excitations of these materials has been limited by an incomplete knowledge of their magnetic ordering and exchange interactions. Now, with the availability of detailed measurements of such information obtained by neutron scattering [M. Mena et al., Phys. Rev. Lett. 124, 257201 (2020)], we are motivated to report a study for $\mathrm{Rb}\mathrm{Co}{\mathrm{Cl}}_{3}$. We employ the concept of a Zeeman ladder of magnetic excitations below the antiferromagnetic transition temperature at 28 K, as well as showing the existence of a bound magnetic state, to accurately predict the energies of five magnetic excitations observed by Raman scattering. Such a remarkable match of theory to experiment with just one adjustable parameter augers well for theoretical applications in other such perovskites.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.005 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.117 | 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".