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Nanotechnology

Nanomagnetics

News and Updates

skyrmions

Imaging the Elusive Skyrmion

Scientists at the National Institute of Standards and Technology (NIST) with colleagues elsewhere have employed neutron imaging and a reconstruction algorithm

Projects and Programs

A current (white arrow) flowing through a tantalum film generates a current of spins (dark blue arrows) that impinges on the ferromagnetic cobalt iron boron layer and causes the magnetization (gold arrow) to charge directions (light blue arrow).

Theory of Spin-Orbit Torque

Ongoing
The working of countless electronic devices involves electric and magnetic effects interacting within nanostructured materials. In the phenomenon known as spin
Fig. 1. Die containing 285 superparamagnetic tunnel junctions.

Spintronics for Neuromorphic Computing

Ongoing
One promising new approach to next generation information processing is spintronics, where information is carried by electronic spin rather than charge. Among

Magnetic Random Access Memory

Ongoing
The program on magnetic random-access memory develops metrology to determine how spin currents can be generated and used to control and manipulate magnetization

Publications

Unbiased random bitstream generation using injection-locked spin-torque nano-oscillators

Author(s)
Nhat-Tan PHAN, Nitin Prasad, Abderrazak Hakam, Ahmed SIDI EL VALLI, Lorena Anghel, Luana Carina Benetti, Advait Madhavan, Alex Jenkins, Ricardo Ferreira, Mark Stiles, Ursula Ebels, Philippe Talatchian
Unbiased sources of true randomness are critical for the successful deployment of stochastic unconventional computing schemes and encryption applications in

Programmable electrical coupling between stochastic magnetic tunnel junctions

Author(s)
Sidra Gibeault, Temitayo Adeyeye, Liam Pocher, Daniel Lathrop, Matthew Daniels, Mark Stiles, Jabez J. McClelland, William Borders, Jason Ryan, Philippe Talatchian, Ursula Ebels, Advait Madhavan
Superparamagnetic tunnel junctions (SMTJs) are promising sources of randomness for compact and energy efficient implementations of various probabilistic

Measurement-driven Langevin modeling of superparamagnetic tunnel junctions

Author(s)
Liam Pocher, Temitayo Adeyeye, Sidra Gibeault, Philippe Talatchian, Ursula Ebels, Daniel Lathrop, Jabez J. McClelland, Mark Stiles, Advait Madhavan, Matthew Daniels
Superparamagnetic tunnel junctions are important devices for a range of emerging technologies, but most existing compact models capture only their mean