Related Experiment Video
Updated: Dec 30, 2025
08:23
A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
Published on: September 30, 2019
6.6K
Electric Field-Tunable Giant Magnetoresistance (GMR) Sensor with Enhanced Linear Range
Liqian Wang1, Zhongqiang Hu1, Yuanyuan Zhu1
1Electronic Materials Research Laboratory, Key Laboratory of the Ministry of Education & International Center for Dielectric Research, School of Electronic Science and Engineering, State Key Laboratory for Mechanical Behavior of Materials , Xi'an Jiaotong University , Xi'an 710049 , China.
ACS Applied Materials & Interfaces
|January 28, 2020
Summary
This study introduces a novel tunable giant magnetoresistance (GMR) sensor. By using an electric field, the sensor
Area of Science:
- Spintronics
- Condensed Matter Physics
- Materials Science
Background:
- Giant magnetoresistance (GMR) sensors rely on the linear response of magnetization to external magnetic fields.
- Magnetic anisotropy in ferromagnetic layers can be tuned via strain-mediated magnetoelectric coupling.
Purpose of the Study:
- To propose and demonstrate a tunable GMR magnetic field sensor.
- To achieve voltage control over the linear range and sensitivity of GMR sensors.
Main Methods:
- Fabrication of a spin valve structure (Ru/CoFe/Cu/CoFe/IrMn/Ru) on a PMN-PT (011) substrate.
- Utilizing magnetoelectric coupling to control magnetization direction with an electric field.
- Integration into bridge structures for tunable GMR sensing.
Main Results:
- Demonstrated an adjustable linear magnetoresistance effect.
- Achieved a 6-fold enhancement in the linear sensing range for DC magnetic fields with an applied electric field of 14 kV/cm.
- Developed electrically tunable GMR sensors capable of operating across different magnetic field ranges.
Conclusions:
- The developed tunable GMR sensor leverages magnetoelectric coupling and spin valve principles.
- This sensor design offers adaptable performance for various magnetic field ranges.
- Shows significant potential for applications in the Internet of Things (IoT).
