1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Spin-transfer torque magnetization reversal in uniaxial nanomagnets with thermal noise
Rent:
Rent this article for
USD
10.1063/1.4813488
/content/aip/journal/jap/114/3/10.1063/1.4813488
http://aip.metastore.ingenta.com/content/aip/journal/jap/114/3/10.1063/1.4813488
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

Histogram distribution of after letting the magnetic system relax to thermal equilibrium (10 natural time units). The overlayed red dashed line is the theoretical equilibrium Boltzmann distribution. In the inset, we show a semilog-plot of the probability vs. dependency. As expected, the data scale linearly.

Image of FIG. 2.
FIG. 2.

Blue line shows the fit of the ballistic limit to the numerical data (in blue crosses). Red line shows the improvement obtained by including diffusion gradient terms. Times are shown in units of ( ) where stands for Tesla: real time is obtained upon division by .

Image of FIG. 3.
FIG. 3.

: green , red for applied current  = 5. The plane dissecting the sphere is perpendicular to the uniaxial anistropy axis. Its intersection with the sphere selects the regions with highest uniaxial anisotropy energy.

Image of FIG. 4.
FIG. 4.

Mean switching time behavior for various angular tilts above critical current obtained by numerically solving (7) . Each set of data is rescaled by its critical current such that all data plotted has . Angular tilts are shown in the legend in units of such that the smallest angular tilt is 0 and the largest is . Times are shown in units of ( ) where stands for Tesla: real time is obtained upon division by .

Image of FIG. 5.
FIG. 5.

Mean switching time behavior in the sub-critical low current regime obtained by numerically solving (7) . Times are shown in units of ( ) where stands for Tesla: real time is obtained upon division by . The red andgreen lines are born by fitting to the data the functional form , where μ is the debated exponent (either 1 or 2) and is deduced numerically. The red curve fits the numerical data asymptotically better the green curve. The difference between the red line and (21) is that our theoretical prediction includes a current dependent prefactor, which was not fitted numerically. The differences between numerical data and (20) are due to numerical inaccuracies out to such long time regimes. The differences between (20) and (21) quantify the reach of the crossover regime.

Image of FIG. 6.
FIG. 6.

Mean switching time behavior in the sub-critical low current regime obtained by numerically solving (7) . Various uniaxial tilts are compared by rescaling all data by the appropriate critical current value. Times are shown in units of ( ) where stands for Tesla: real time is obtained upon division by .

Image of FIG. 7.
FIG. 7.

Influence of precessional orbits on transient switching as seen from the switching time probability curve in the supercritical current regime. The case shown is that of an angular tilt of subject to a current intensity of 2.0 times the critical current. Data were gathered by numerically solving (7) . The non-monotonicity in the probability curve shows the existence of transient switching. Times are shown in units of ( ) where stands for Tesla: real time is obtained upon division by .

Image of FIG. 8.
FIG. 8.

Spin-torque induced switching time probability curves for various angular configurations of uniaxial tilt (a sample normalized current of 10 was used) obtained by numerically solving (7) . A log-log y-axis is used following (28) to make the tails of the probability distributions visible.

Loading

Article metrics loading...

/content/aip/journal/jap/114/3/10.1063/1.4813488
2013-07-15
2014-04-20
Loading

Full text loading...

This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Spin-transfer torque magnetization reversal in uniaxial nanomagnets with thermal noise
http://aip.metastore.ingenta.com/content/aip/journal/jap/114/3/10.1063/1.4813488
10.1063/1.4813488
SEARCH_EXPAND_ITEM