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AlN vs. AlScN in Magnetoelectric Sensors

Authors: Su, Jingxiang;

AlN vs. AlScN in Magnetoelectric Sensors

Abstract

The development of sensors for the detection of weak magnetic fields is of particular interest in biomagnetic diagnostics. A non-invasive detection of magnetic field distribution in the heart, brain or muscles, also known as magnetocardiography (MCG), magnetoencephalgraphy (MEG) and magnetomyography (MMG), can provide a powerful diagnosis of heart, brain or muscle function. State-of-the-art magnetometers for biomagnetic field measurement are ultrahigh sensitive superconducting quantum interference devices (SQUIDs) which require a costly cooling system and a shield room for operation. Therefore, low-cost magnetoelectric (ME) sensors, that possess the ability to detect magnetic fields down to few pico-Tesla at room temperature, are of particular interest. However, the detection limits of ME sensors are not low enough to meet the needs of practical applications, and development work is still in progress. To improve the limit of detection (LOD) of ME sensors, the idea is to increase the sensitivity or reduce the sensor intrinsic noise. In ME sensors, aluminum nitride (AlN) and lead zirconate titanate (PZT) are the most commonly used piezoelectric thin films. It has been recently reported that AlN alloyed with scandium (Sc) significantly enhances its effective piezoelectric coefficient, which is proportional to the sensitivity of ME sensors. Based on this background, the focus of this work is to investigate the influence of the piezoelectric thin films (AlN and AlScN) on the performance of MEMS ME sensors.

Country
Germany
Related Organizations
Keywords

ddc:600, Frequency Tuning, thesis, Magnetoelectric Sensor, Magnetoelectric Effect, Piezoelectric Effect, AlScN

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green