Magnetic manifestations from the application of perturbations on the dynamic spin ice Pr2Sn2O7
Bibliographic record
Abstract
The purpose of this study was to investigate the effects of two perturbations, the application of an external magnetic field and randomised chemical pressure through Ti4+/Sn4+ substitution, on the dynamic spin ice state in Pr2Sn2O7. We show through magnetometry, heat capacity and powder neutron diffraction that the dynamic spin ice state in Pr2Sn2O7 is extremely fragile, requiring an external field of approximately 0.5 T to induce a transition into a long range ordered antiferromagnetic state, in accordance with the recorded behaviour of other spin ice materials. Similarly, the dynamic spin ice state in Pr2Sn2O7 only required a doping percentage of less than 2.5% to induce a transition away from the spin ice state. But instead of the predicted spin glass state, Pr2Sn2O7 assumes a cluster-type magnetic structure with extremely weak intercluster antiferromagnetic interactions, a magnetic structure that persists even to the highest doping level of 30%. The results of this thesis reveals that careful attention must be taken when selecting and placing the tetravalent cation in the 16c Wyckoff site in the pyrochlore structure, if one desires to have a spin ice state.
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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".