journal article·2025-07Open access

Low‐Noise, Unbiased Ferromagnetic‐Resonance‐Driven Thin‐Film Integrated Giant Magnetoimpedance Sensors

Bin Luo, Xianfeng Liang, Huaihao Chen, Cai Müller, Paul Raschdorf, Phillip Durdaut, Michael Höft, Jeffrey McCord, Nian‐Xiang Sun

Advanced Materials Technologies· Volume 10· Issue 14

Abstract

Abstract Magnetic sensors are vital in modern technology, with extensive applications across various engineering and industrial fields. The Giant Magnetoimpedance (GMI) effect offers advantages such as high magnetic field sensitivity, spatial resolution, and low power consumption, making it a key focus for ultrasensitive magnetic sensors. This paper presents an unbiased, low‐noise GMI sensor based on FMR‐driven S21 phase change in a Ni81Fe19/Ti/Cu/Ni81Fe19/Ti multilayer microstrip. Fabricated using photolithography and sputtering on a silicon wafer, the sensor exhibits favorable magnetic properties, including low coercivity, narrow ferromagnetic resonance linewidth, and well‐defined magnetic domain walls along the microstrip width direction (easy axis). Phase noise and magnetic noise are directly measured using a phase noise setup, without electronic conditioning circuits. The study examines phase sensitivity, phase noise, and magnetic noise as functions of RF frequency, DC bias field, and input power, achieving the best equivalent magnetic noise of ≈100 pT/√Hz at 15 Hz at zero bias field. The optimal RF frequency is 700 MHz with an input power of −2 dBm. The compact design, unbiased operation, low magnetic noise, and MEMS‐based fabrication make these integrated GMI sensors promising for fundamental research and industrial applications requiring precise magnetic field detection.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Surface Roughness and Optical Measurements · Magnetic Field Sensors Techniques · Magneto-Optical Properties and Applications

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

Affiliations

Department of Electrical and Computer Engineering Northeastern University 360 Huntington Avenue Boston MA 02115 USA

Institute of Electric Power Sensing Technology State Grid Smart Grid Research Institute, Co., LTD. Beijing 102209 China

Department of Materials Science Kiel University 24143 Kiel Germany

Department of Electrical Engineering and Information Technology Kiel University 24143 Kiel Germany

KiNSIS – Kiel Nano, Surface and Interface Science Kiel University 24118 Kiel Germany

Funding

Deutsche Forschungsgemeinschaft · Division of Engineering Education and Centers · National Science Foundation

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