Skip to main content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Spin Electronics Group

The data demands of cloud computing, expanded Internet use, mobile device support, and other applications have prompted the creation of large, centralized computing facilities at hundreds of thousands of sites around the world.

Even if the power needs for all U.S. data centers can be met, the inherent constraints of semiconductor electronics will still impose scaling and clock-rate limits on future processing capacity at a time when the digital information is increasing exponentially. Electron-spin torque may be used to switch future, nonvolatile, magnetic memory elements. Compared to switching memory bits with magnetic fields, this method would offer higher speed, greater reliability, lower power, and would be scalable to smaller device dimensions. The Spin Electronics Group investigates theoretical and experimental aspects of spin transport and the transfer of spin angular momentum to magnetic structures. 

News and Updates

Projects and Programs

Magnetic Random Access Memory

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

Neuromorphic Computing

Neuromorphic computing promises to dramatically improve the efficiency of important computational tasks, such as perception and decision making. While software

Publications

Field Compressed Sensing

Author(s)
Anthony B. Kos, Fabio C. Da Silva, Jason B. Coder, Craig W. Nelson, Grace E. Antonucci, Archita Hati
Imaging solutions based on wave scattering seek real-time performance, high dynamic range, and spatial accuracy at scales spanning from nanometers to thousands

Energy efficient single flux quantum based neuromorphic computing

Author(s)
Michael L. Schneider, Christine A. Donnelly, Stephen E. Russek, Burm Baek, Matthew R. Pufall, Peter F. Hopkins, William H. Rippard
Many neuromorphic hardware technologies are being explored for their potential to increase the efficiency of computing certain problems, and thus facilitate

Contacts

Group Leader

Group Office Manager

Postal address: Spin Electronics Group, NIST - 687.09, 325 Broadway, Boulder, CO 80305