Time-resolved detection of spin-transfer-driven ferromagnetic resonance and spin torque measurement in magnetic tunnel junctions
Chen Wang, Yong-Tao Cui, Jordan A. Katine, Robert A. Buhrman and, Daniel C. Ralph

TL;DR
This paper introduces a direct time-resolved method to measure spin transfer torque in magnetic tunnel junctions, providing more accurate and artifact-resistant results, especially at high bias levels relevant for applications.
Contribution
It presents a novel time-domain technique for direct measurement of spin torque in MTJs, improving accuracy over previous indirect methods and revealing complex bias dependence.
Findings
Spin torque can be directly measured via resonant magnetic precession detection.
The high-bias spin torque vector deviates from simple theoretical models.
The method reduces artifacts common in previous measurement techniques.
Abstract
Several experimental techniques have been introduced in recent years in attempts to measure spin transfer torque in magnetic tunnel junctions (MTJs). The dependence of spin torque on bias is important for understanding fundamental spin physics in magnetic devices and for applications. However, previous techniques have provided only indirect measures of the torque and their results to date for the bias dependence are qualitatively and quantitatively inconsistent. Here we demonstrate that spin torque in MTJs can be measured directly by using time-domain techniques to detect resonant magnetic precession in response to an oscillating spin torque. The technique is accurate in the high-bias regime relevant for applications, and because it detects directly small-angle linear-response magnetic dynamics caused by spin torque it is relatively immune to artifacts affecting competing techniques. At…
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Taxonomy
TopicsMagnetic properties of thin films · Advanced Memory and Neural Computing · Neural Networks and Applications
