Synthetic staggered fields switch Neel vectors probed by magnetic resonance
Overview & Synopsis
Electrical detection of antiferromagnetic order is a critical challenge for antiferromagnetic spintronics owing to their vanishing macroscopic magnetisation. While magnetic resonance has demonstrated sub-terahertz antiferromagnetic spin pumping and nonlinear magnon dynamics, its application to electrically contacted on-chip devices has room for further exploration. Here we show that magnetic resonance enables direct electrical detection of Néel vector states. A $180^\circ$ reversal in synthetic antiferromagnets is realised by current-driven effective fields with opposite polarisation acting on each magnetic sublayer, which we term synthetic staggered fields. The switching induces a $π$ phase shift of precessional motion in time, producing hysteretic rectified voltages in our phase-sensitive detection scheme. Angular-dependent resonance analysis offers further insight into the Néel vector directions, pointing to a model beyond the macrospin formalism. We address this by defect-incorporated micromagnetic simulations that reveal fragmented domain states after current excitation. An extracted current density of $7.4\times10^{9}$ A/m$^2$ is, to our knowledge, the lowest reported value for the room-temperature Néel vector switching and we show that it scales with the in-plane uniaxial anisotropy both experimentally and numerically. Synthetic staggered fields and the resonance-based methodology provide a research platform for nanoscale characterisation of electrically driven antiferromagnetic textures, guiding the development of high-frequency on-chip spintronic architectures.
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Document Information
| Document Title | Synthetic staggered fields switch Neel vectors probed by magnetic resonance |
|---|---|
| Author / Organization | Yifang Hao, Zhiyi Che, Jack Brierley, Aakanksha Sud, Satoshi Iihama, Rishi Siddani, Chenghao Yang, Charlie W. F. Freeman, Troy Dion, Daniel Prestwood, Zekun Xue, Tianyi Wei, Murat Cubukcu, Craig Barton, Shunsuke Fukami, Shigemi Mizukami, Hidekazu Kurebayashi |
| Subject & Discipline | cond-mat.mes-hall |
| Categories | Computer Science & Mathematics |
| Publication Year | 2026 |
| License / Rights | arXiv Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
arXiv
(arxiv.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-6192 |
| Original Source Link | Visit Source Page on arxiv.org » |