Influence of size and shape on key performance metrics in spin-torque oscillators

Brandon R Zink, Yang Lv, Jian Ping Wang

Research output: Contribution to journalArticlepeer-review

Abstract

Spin Torque Oscillators (STOs) are promising solutions in a wide variety of next generation technologies from read-head sensors in high-density magnetic recording technology to neural oscillator units for neuromorphic computing. There are several metrics that can be used to quantify the performance of an STO such as power, quality factor, frequency tunability, etc., most of which are dependent on the design of the STO device itself. Furthermore, determining the most important metric will be contingent on its desired application, meaning that it is crucial to understand how the STOs design parameters influence all aspects of its performance so that its design can be optimized to perform the desired function. In this work, we analyzed spin torque oscillations generated from 20 magnetic tunnel junctions with in-plane anisotropy and patterned into elliptical nano-pillars with a wide range of sizes and aspect ratios. For each device, we acquired 20 to 50 data sets at various bias fields and currents and used power spectral density plots to measure output power, frequency, linewidth, quality factor, and power-to-linewidth ratio for each set. We also analyzed each STOs performance in terms of the bias fields and bias currents required to maximize output power and signal quality as well as the frequency tunability with both field and current. By comparing all of these performance metrics between the 20 STOs tested, we studied the influence of device size and shape on all aspects of STO performance and used correlation coefficients to quantify relative magnitude of these effects.

Original languageEnglish (US)
Article number0000230
JournalAIP Advances
Volume11
Issue number2
DOIs
StatePublished - Feb 1 2021

Bibliographical note

Funding Information:
This work is supported in part by Seagate Technology and CAPSL, an SRC program sponsored by the NSF through 1739635. Portions of this work were conducted in the Minnesota Nano Center, which is supported by the National Science Foundation through the National Nano Coordinated Infrastructure Network, award number ECCS-2025124. The authors thank the useful discussion with Dr. Pavol Krivosik and Dr. Mark Kief from Seagate Technology.

Publisher Copyright:
© 2021 Author(s).

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