A robust measurement scheme indicates that a spin-related torque that speeds up moving domain walls in magnetic nanostructures is larger than previously estimated.
Imagine a computer equipped with shock-proof memory that's 100,000 times faster and consumes less power than current hard disks. EPFL Professor Mathias Klaui is working on a new kind of "racetrack" memory, a high-volume, ultra-rapid non-volatile read-write magnetic memory that may soon make such a creature possible.
Scientists at the Zurich Research Center of IBM (which is developing a racetrack memory) have confirmed the importance of the results in the Viewpoint article. Millions or even billions of nanowires would be embedded in a chip, providing enormous capacity on a shock-proof platform. A market-ready device could be available in as little as 5-7 years.
Racetrack memory promises to be a real breakthrough in data storage and retrieval. Racetrack-equipped computers would boot up instantly, and their information could be accessed 100,000 times more rapidly than with a traditional hard disk. They would also save energy. RAM needs to be powered every millionth of a second, so an idle computer consumes up to 300 mW just maintaining data in RAM. Because Racetrack memory doesn't have this constraint, energy consumption could be slashed by nearly a factor of 300, to a few mW while the memory is idle
Physics Review Letters - Direct Determination of Large Spin-Torque Nonadiabaticity in Vortex Core Dynamics (4 page pdf)
We use a pump-probe photoemission electron microscopy technique to image the displacement of vortex cores in Permalloy discs due to the spin-torque effect during current pulse injection. Exploiting the distinctly different symmetries of the spin torques and the Oersted-field torque with respect to the vortex spin structure we determine the torques unambiguously, and we quantify the amplitude of the strongly debated nonadiabatic spin torque. The nonadiabaticity parameter is found to be β=0.15±0.07, which is more than an order of magnitude larger than the damping constant α, pointing to strong nonadiabatic transport across the high magnetization gradient vortex spin structures.
2. There is other interesting work towards graphene based spin computers. Physicists at the University of California, Riverside have taken an important step forward in developing a “spin computer” by successfully achieving “tunneling spin injection” into graphene.
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