Effect of resistance feedback on spin torque-induced switching of nanomagnets

Physics – Condensed Matter – Mesoscale and Nanoscale Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8 pages

Scientific paper

In large magnetoresistance devices spin torque-induced changes in resistance can produce GHz current and voltage oscillations which can affect magnetization reversal. In addition, capacitive shunting in large resistance devices can further reduce the current, adversely affecting spin torque switching. Here, we simultaneously solve the Landau-Lifshitz-Gilbert equation with spin torque and the transmission line telegrapher's equations to study the effects of resistance feedback and capacitance on magnetization reversal of both spin valves and magnetic tunnel junctions. While for spin valves parallel (P) to anti-parallel (AP) switching is adversely affected by the resistance feedback due to saturation of the spin torque, in low resistance magnetic tunnel junctions P-AP switching is enhanced. We study the effect of resistance feedback on the switching time of MTJ's, and show that magnetization switching is only affected by capacitive shunting in the pF range.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Effect of resistance feedback on spin torque-induced switching of nanomagnets does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Effect of resistance feedback on spin torque-induced switching of nanomagnets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Effect of resistance feedback on spin torque-induced switching of nanomagnets will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-322857

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.