Noise suppression and sensitivity manipulation of magnetic tunnel junction sensors with soft magnetic Co70.5Fe4.5Si15B10 layer

L. Huang; Z. H. Yuan; B. S. Tao; C. H. Wan; P. Guo; Q. T. Zhang; L. Yin; J. F. Feng; T. Nakano; H. Naganuma; H. F. Liu; Y. Yan; X. F. Han

doi:10.1063/1.4990478

Noise suppression and sensitivity manipulation of magnetic tunnel junction sensors with soft magnetic Co_70.5Fe_4.5Si₁₅B₁₀ layer

L. Huang, Z. H. Yuan, B. S. Tao, C. H. Wan, P. Guo, Q. T. Zhang, L. Yin, J. F. Feng, T. Nakano, H. Naganuma, H. F. Liu, Y. Yan, X. F. Han

ENG - Applied Physics

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

The voltage noise characteristic and sensitivity of magnetic tunnel junction sensors are crucial for ultralow field detection. In this work, we used a soft magnetic material electrode Co_70.5Fe_4.5Si₁₅B₁₀ as a sensing layer to improve the sensitivity. Then, a bias field along the easy axis of a free layer was applied to improve the linearity and manipulate the sensitivity of magnetic tunnel junction sensors. More importantly, random telegraph noise was suppressed by the bias field, resulting in hysteresis-free performance. The highest sensitivity of 3.9%/Oe and the best field detectivity of 4.5 nT/√ Hz at 10 Hz without hysteresis have been achieved. The sensors showed excellent performance with CoFeSiB electrodes, indicating that it is an effective way to improve the performance of sensors by introducing the bias field.

Original language	English
Article number	113903
Journal	Journal of Applied Physics
Volume	122
Issue number	11
DOIs	https://doi.org/10.1063/1.4990478
Publication status	Published - 2017 Sep 21

ASJC Scopus subject areas

Physics and Astronomy(all)

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Noise suppression and sensitivity manipulation of magnetic tunnel junction sensors with soft magnetic Co_70.5Fe_4.5Si₁₅B₁₀ layer. / Huang, L.; Yuan, Z. H.; Tao, B. S.; Wan, C. H.; Guo, P.; Zhang, Q. T.; Yin, L.; Feng, J. F.; Nakano, T.; Naganuma, H.; Liu, H. F.; Yan, Y.; Han, X. F.

In: Journal of Applied Physics, Vol. 122, No. 11, 113903, 21.09.2017.

Research output: Contribution to journal › Article › peer-review

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title = "Noise suppression and sensitivity manipulation of magnetic tunnel junction sensors with soft magnetic Co70.5Fe4.5Si15B10 layer",

abstract = "The voltage noise characteristic and sensitivity of magnetic tunnel junction sensors are crucial for ultralow field detection. In this work, we used a soft magnetic material electrode Co70.5Fe4.5Si15B10 as a sensing layer to improve the sensitivity. Then, a bias field along the easy axis of a free layer was applied to improve the linearity and manipulate the sensitivity of magnetic tunnel junction sensors. More importantly, random telegraph noise was suppressed by the bias field, resulting in hysteresis-free performance. The highest sensitivity of 3.9%/Oe and the best field detectivity of 4.5 nT/√ Hz at 10 Hz without hysteresis have been achieved. The sensors showed excellent performance with CoFeSiB electrodes, indicating that it is an effective way to improve the performance of sensors by introducing the bias field.",

author = "L. Huang and Yuan, {Z. H.} and Tao, {B. S.} and Wan, {C. H.} and P. Guo and Zhang, {Q. T.} and L. Yin and Feng, {J. F.} and T. Nakano and H. Naganuma and Liu, {H. F.} and Y. Yan and Han, {X. F.}",

note = "Funding Information: The project was supported by the 863 Plan Project of Ministry of Science and Technology (MOST, Grant No. 2014AA032904), the MOST National Key Scientific Instrument and Equipment Development Projects (MOST, Grant No. 2011YQ120053), the National Natural Science Foundation of China (NSFC, Grant Nos. 11434014, 51229101, and 51501098), the Strategic Priority Research Program (B) of the Chinese Academy of Sciences (CAS) (Grant No. XDB07030200), the user fund of Wuhan National High Magnetic Field Center (PHMFF2015011), the International collaborative research program of JSPS-NSFC joint project (Grant No. 11104338), and a JSPS Grant-in-Aid for Scientific Research (B) (No. 15H03548).",

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AU - Guo, P.

AU - Zhang, Q. T.

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AU - Han, X. F.

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