December 2016

MIT and JGU researchers advance towards skyrmion-based spintronics

Researchers from MIT and the Johannes Gutenberg University Mainz (JGU) achieved the billion-fold reproducible motion of skyrmions (special spin structures) between different positions. The researchers say that this kind of process is needed to produce magnetic shift registers - and so this is a critical step towards skyrmions applications in spintronics devices.

The magnetic structure of the skyrmion (image)

Using specially design thin film structures (asymmetric multilayer devices) that exhibit broken inversion symmetry that stabilize the skyrmions. In such structures, skyrmions have a unique stability - which makes them compelling for such spintronic devices. The researchers say that those skyrmions, that can be shifted by electrical currents and move relatively undisturbed through the track, are very promising to make racetrack devices.

Read the full story Posted: Dec 30,2016

NRL researchers produce spin-filtering at room temperature

Researchers from the US Naval Research Laboratory (NRL) demonstrated metallic spin filtering at room temperatures, using a ferromagnet-graphene-ferromagnet thin film junction device.

Spin filtering graphene junction (NRL)

Spin filtering has been theoretically predicted, and previously seen only for high-resistance structures at cryogenic temperatures. This is the first time that someone demonstrated the effect in room temperatures, and with very low resistance in arrays of multiple devices.

Read the full story Posted: Dec 22,2016

Researchers demonstrate the world's first spintronics-based AI

Researchers at Tohoku University demonstrated a spintronics-based artificial intelligence (AI) device. The researchers developed an artificial neural network using micro-scale magnetic spintronic device.

AI spintronics device photos (Tohoku Uni)

The researchers say that this spintronic device is capable of memorizing arbitral values between 0 and 1 in an analogue manner unlike the conventional magnetic devices, and thus perform the learning function, which is served by synapses in the brain. This is still an early stage (the researchers call this a proof-of-concept demo) but spintronics has a high potential to enable ultra low-power and fast neural-network devices.

Read the full story Posted: Dec 21,2016