Electronically Induced Ferromagnetic Transitions in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>Sm</mml:mi><mml:mn>5</mml:mn></mml:msub><mml:msub><mml:mi>Ge</mml:mi><mml:mn>4</mml:mn></mml:msub></mml:math>-Type Magnetoresponsive Phases
Bibliographic record
Abstract
The correlation between magnetic and structural transitions in ${\mathrm{Gd}}_{5}{\mathrm{Si}}_{x}{\mathrm{Ge}}_{4\ensuremath{-}x}$ hampers the studies of valence electron concentration (VEC) effects on magnetism. Such studies require decoupling of the VEC-driven changes in the magnetic behavior and crystal structure. The designed compounds, ${\mathrm{Gd}}_{5}{\mathrm{GaSb}}_{3}$ and ${\mathrm{Gd}}_{5}{\mathrm{GaBi}}_{3}$, adopt the same ${\mathrm{Sm}}_{5}{\mathrm{Ge}}_{4}$-type structure as ${\mathrm{Gd}}_{5}{\mathrm{Ge}}_{4}$ while the VEC increases from $31\text{ }\text{ }{e}^{\ensuremath{-}}/\mathrm{formula}$ in ${\mathrm{Gd}}_{5}{\mathrm{Ge}}_{4}$ to $33\text{ }\text{ }{e}^{\ensuremath{-}}/\mathrm{formula}$ in ${\mathrm{Gd}}_{5}{\mathrm{GaPn}}_{3}$ (Pn: pnictide atoms). As a result, the antiferromagnetic ground state in ${\mathrm{Gd}}_{5}{\mathrm{Ge}}_{4}$ is tuned into the ferromagnetic one in ${\mathrm{Gd}}_{5}{\mathrm{GaPn}}_{3}$. First-principles calculations reveal that the nature of interslab magnetic interactions is changed by introducing extra $p$ electrons into the conduction band, forming a ferromagnetic bridge between the adjacent $_{\ensuremath{\propto}}^{2}[{\mathrm{Gd}}_{5}{T}_{4}]$ slabs.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.090 | 0.005 |
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".