Issue |
EPJ Web Conf.
Volume 185, 2018
Moscow International Symposium on Magnetism (MISM 2017)
|
|
---|---|---|
Article Number | 01020 | |
Number of page(s) | 4 | |
Section | Spintronics and Magnetotransport | |
DOI | https://doi.org/10.1051/epjconf/201818501020 | |
Published online | 04 July 2018 |
https://doi.org/10.1051/epjconf/201818501020
Spin-torque quantization and microwave sensitivity of a nano-sized spin diode
1
Moscow Institute of Physics and Technology (MIPT), 141701 Moscow region, Dolgoprudny, Russia
2
National Research University of Electronic Technology (MIET), 124498 Moscow, Russia
* Corresponding author: gddemin@gmail.com
Published online: 4 July 2018
Rectification of microwave signal by the spin-torque diode is very promising for its practical applications in microwave imaging. This is due to a very high sensitivity of magnetic tunnel junction under the bias current, which was previously demonstrated in a number of works [1-3]. The decreasing of cross-sectional area of the spin-torque diode up to the nano-sized dimensions below 10 nm allows one to reach high sensitivity without any bias current. Transverse quantization of electron states in the magnetic nanowire based on nano-sized metallic spin valves and magnetic tunnel junctions can create an additional impact not only on the magnetoresistance, but also on the spin-transfer torque in such structures. In this work we present an analysis of the quantization effect of conductance and spin-transfer torques on the microwave sensitivity of nano-sized spin-torque diodes during the reduction of its cross-sectional area. It was found that the magnetoresistance values up to 130 % can be achieved in a magnetic nanowire containing spin-valve diode with the nonmagnetic metal spacer. As a result, the maximum microwave sensitivity of spin-torque diodes based on these structures can be increased several times that opens the way for the further development of highly sensitive microwave detectors.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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