Highly Efficient Room-Temperature Nonvolatile Magnetization Switching in 2D Van Der Waals Ferromagnet Fe<sub>3</sub>GaTe<sub>2</sub>
Bibliographic record
Abstract
The ability to manipulate magnetic states through low currents is crucial for next-generation spintronics. Two-dimensional (2D) magnetic van der Waals (vdW) materials have attracted widespread attention due to their huge spin–orbit torque (SOT) effects. However, the relatively low Curie temperature ( T C ) of most known 2D ferromagnets limits their applications above room temperature. Therefore, the effective manipulation of the magnetic state at room temperature and the integration of multiple storage units remain a challenge. Here, we investigate the fundamental magnetism and nonlocal manipulation phenomena of the room-temperature vdW material Fe 3 GaTe 2 (FGaT) using magneto-optical Kerr effect measurement technology, leading to the successful construction of low-power room-temperature nonvolatile magnetic switches and efficient room-temperature magneto-optical memory devices (MOMD). Notably, the power consumption of the room-temperature magnetization switch and the current density of the MOMD are as low as 5.12 × 10 11 W/m 3 and 5 × 10 4 A/cm 2, respectively. These findings provide solutions for the control and integration of next-generation vdW high-performance spintronic devices.
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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".