Bibliographic record
Abstract
The X-ray and polarized neutron diffraction are used to determine the crystal handedness and magnetic chirality of the series of highpurity MnSi single crystals and mixed compounds crystals of Mn 1- x Fe x Si and Fe 1-x Co x Si grown by Czochralski methods [1,2].To test the possibility to control the crystal handedness of the single crystals we have performed the following experiments with the crystal growth using Czochralski technique.(i) Using as a seed the right-handed crystal Fe 1-x Co x Si with x = 0.10 we have grown one series of Fe 1-x Co x Si samples with x = 0.10, 0.15, 0.20, 0.25, 0.30, 0.50.(ii) Using as a seed the left-handed crystal with x = 0.50 we have grown another series of Fe 1-x Co x Si samples again of different concentrations.The result of these experiments aimed to demonstrate weather handedness of these crystals depends on the concentration of Co, or, it is solely determined by the seed used for this synthesis.The third option could be if the handedness would not depend on a seed and/or concentration x.In 90% cases the grown sample has been found to be enantiopure and to inherit the crystallographic chirality of its seed crystal.In 10% cases undefined circumstances flip the chirality over for the next progeny or produce a racemic sample.We demonstrate that (i) left and right forms of all transition metal monosilicides can be grown by the Czochralski method, (ii) the magnetic chirality of all Mn 1-x Fe x Si crystals follows its crystallographic counterpart [1], (iii) the opposite coupling between the crystal handedness and the spin chirality has been found for Fe 1-x Co x Si compounds [2].Knowing the rigid coupling between the structural handedness and magnetic chirality we used the polarised neutron diffraction to indirectly determine the average handedness of six different polycrystalline samples of MnSi with large number of crystallites (100 crystals per cm 3 ).The average chirality of these polycrystals deviates unexpectedly high from zero.This net chirality is maybe related to the yet poor statistics in the numbers of the left or right crystallites inside the polycrystals.
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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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.009 |
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".