2026-07-28 合肥物質科学研究院(HFIPS)

Harnessing spin-texture dynamics in synthetic ferrimagnets for low-noise, high-sensitivity magnetic sensors (Image by WANG Kang)
<関連情報>
- https://english.hf.cas.cn/nr/rn/202607/t20260728_1179304.html
- https://journals.aps.org/prl/abstract/10.1103/vf43-sxwq
スピンテクスチャダイナミクスを活用した低ノイズ・高感度磁気センサー Harnessing Spin-Texture Dynamics for Low-Noise, High-Sensitivity Magnetic Sensors
Kang Wang, Teng Xu, Meng Shi, Xinxiang Sun, Yizhou Liu, Huali Yang, Run-Wei Li, and Haifeng Du
Physical Review Letters Published: 17 July, 2026
DOI: https://doi.org/10.1103/vf43-sxwq
Abstract
The development of low-noise, high-sensitivity magnetic sensors is essential for applications such as automotive systems, biomedical imaging, and magnetic microscopy. However, sensor performance has long been impeded by a fundamental constraint that noise and sensitivity increase concomitantly, which imposes a performance limit. Here, we show that this limit can be overcome by engineering spin-texture dynamics. While maintaining high sensitivity, the sensor noise is demonstrated to decrease inversely with enhanced spin-texture dynamics. Leveraging this mechanism, using synthetic ferrimagnets with accelerated spin-texture dynamics, low-noise and high-sensitivity anomalous-Hall sensors are constructed. With an active sensing area of 20×20 μm2, the device demonstrates a field detectability of 15.7 nT/√Hz at 1 Hz, nearly an order of magnitude improvement over existing sensors based on ferromagnetic materials. Our results establish active control of spin textures as a general pathway to ultrasensitive, low-noise magnetic sensing platforms.


