Eur. Phys. J. Appl. Phys.
Volume 72, Number 1, October 2015
|Number of page(s)||20|
|Section||Spintronics, Magnetism and Superconductivity|
|Published online||05 October 2015|
Linearization strategies for high sensitivity magnetoresistive sensors
Instituto de Engenharia de Sistemas e Computadores – Microsistemas e Nanotecnologias, 1000
2 Instituto Superior Tecnico, Physics Department, Universidade de Lisboa, 1049 Lisboa, Portugal
3 International Iberian Nanotechnology Laboratory, 4715 Braga, Portugal
a e-mail: firstname.lastname@example.org
Revised: 28 July 2015
Accepted: 31 August 2015
Published online: 5 October 2015
Ultrasensitive magnetic field sensors envisaged for applications on biomedical imaging require the detection of low-intensity and low-frequency signals. Therefore linear magnetic sensors with enhanced sensitivity low noise levels and improved field detection at low operating frequencies are necessary. Suitable devices can be designed using magnetoresistive sensors, with room temperature operation, adjustable detected field range, CMOS compatibility and cost-effective production. The advent of spintronics set the path to the technological revolution boosted by the storage industry, in particular by the development of read heads using magnetoresistive devices. New multilayered structures were engineered to yield devices with linear output. We present a detailed study of the key factors influencing MR sensor performance (materials, geometries and layout strategies) with focus on different linearization strategies available. Furthermore strategies to improve sensor detection levels are also addressed with best reported values of ∼40 pT/√Hz at 30 Hz, representing a step forward the low field detection at room temperature.
© EDP Sciences, 2015
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.