journal article·2020-02-01Open access

Controlling domain configuration of the sensing layer for magnetic tunneling junctions by using exchange bias

Sina Ranjbar, Muftah Al-Mahdawi, Mikihiko Oogane, Yasuo Ando

AIP Advances· Volume 10· Issue 2

Abstract

The control of magnetic domain formation and fluctuations in the sensing layer is important to progress for low noise in magnetic tunnel junction sensors. We studied the effect of exchange bias on the domain structure in micro-patterned Permalloy (Py: Ni80Fe20) sensing layer. We deposited single Py films, and Pt48Mn52/Py films, where the latter showed exchange bias. By controlling the thickness of Py, Pt48Mn52 (15nm)/Py (t=235 nm) showed a small coercivity and exchange bias of 7 Oe. After micro-fabrication into circular pillars 80 µm in diameter, we measured the domain structure by Magneto Optical Kerr Effect (MOKE) microscopy. MOKE images showed that single Py pillars have a simple closure domain, where the domain wall at the center moved with the applied field. The exchange-biased Py pillars exhibited a more complicated structure, but with fixed domains at the center region due to the exchange bias overcoming the magnetostatic energy. The uniform rotation of magnetization at the center of the sample is promising for decreasing the domain hopping magnetic noise.
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Research context

OpenAlex topics: Magnetic properties of thin films · Magnetic Field Sensors Techniques · Magnetic and transport properties of perovskites and related materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Applied Physics, Tohoku University 1 , Sendai 980-8579, Japan

Center for Science and Innovation in Spintronics (Core Research Cluster), Organization for Advanced Studies, Tohoku University 2 , Sendai 980-8577, Japan

Center for Spintronics Research Network, Tohoku University 3 , Sendai 980-8577, Japan

Funding

JSPS KAKENHI · center of science and innovation in spintronics · center for spintronics research network · Tohoku university, the S-innovation programm · Japan Science and Technology Agency

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