Piezomagnetic effect on spin-orbit torque driven magnetization processes in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>Mn</mml:mi> <mml:mn>3</mml:mn> </mml:msub> <mml:mi>Sn</mml:mi> </mml:mrow> </mml:math> under epitaxial in-plane tensile strain: An atomistic spin modeling study
Bibliographic record
Abstract
We investigate the influence of in-plane tensile strain on the magnetic ground state and spin-orbit torque (SOT)-driven magnetization processes in $\mathrm{M}{\mathrm{n}}_{3}\mathrm{Sn}$ thin films using atomistic spin modeling. Our study reveals that strain acts as a critical tuning parameter, inducing a transition from the ${E}_{1g}({A}_{x})$ to the ${E}_{1g}({A}_{y})$ magnetic structure beyond a threshold strain corresponding to a reduction of the exchange interaction $|\ensuremath{\delta}\mathrm{J}|\ensuremath{\approx}2%$. This transition is significant as the ${E}_{1g}({A}_{y})$ state is expected to support a large anomalous Hall effect, enabling strain-controlled topological transport properties. Additionally, tensile strain breaks the symmetry between antiferromagnetic sublattices, leading to a piezomagnetically induced net magnetization that increases linearly with strain and is oriented perpendicular to the film plane. Under SOT excitation, $\mathrm{M}{\mathrm{n}}_{3}\mathrm{Sn}$ under strain exhibits sharp, deterministic switching of the cluster octupole moment with a reduced threshold current density, highlighting enhanced SOT efficiency. In contrast, the strain-free system shows intermediate chiral spin rotations during the switching of the octupole moment. Dynamic simulations further reveal current-density-dependent distinct precession modes, including a transient optical mode within a narrow current density range and ultrafast precessions reaching terahertz frequencies. These findings demonstrate the potential of strain engineering to tailor magnetic ground states and achieve low-energy, high-speed magnetization control in noncollinear antiferromagnets. The resulting functionalities offer promising avenues for scalable spintronic devices operating at terahertz frequencies.
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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".