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Alternative Computing Group

The Alternative Computing Group has three areas of research in future electronics for information processing. Click on the links below for more information.

The Alternative Computing Group conducts wide ranging, cross-disciplinary research focusing on innovative measurement science in nanotechnology with an emphasis on applications in future electronics and information processing.  The Group’s current expertise includes measurements and theory for emerging neuromorphic devices and architectures, theory of magnetism and electronic structure, laser-based atom manipulation, and magnetic resonance spectroscopy.  These capabilities are put to use in research programs that support development of new paradigms in nanoelectronics and computing, examining such areas as resistive switching-based neuromorphic processing, spintronic and other nanomagnetic devices, focused ion beam imaging and fabrication, and device metrology including atomic scale defect detection.

News and Updates

Projects and Programs

Magnetic Resonance Spectroscopy

Ongoing
The Magnetic Resonance Spectroscopy Project strives to be at the forefront of understanding the roles that critical atomic-scale defects play in determining

Neuromorphic Device Measurements

Ongoing
Neuromorphic computing is a radical new approach to information processing for artificial intelligence where, instead of using digital electronics, inspiration

Novel Sources for Focused-ion Beams

Completed
Focused beams of ions have a wide range of uses, from nanoscale imaging to the fabrication of nanomaterials. We are developing novel cold-atom based ion sources

Publications

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

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

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

Awards

Press Coverage

NIST, Google announce chip R&D partnership

FCW
The National Institute of Standards and Technology entered into a new agreement with search engine behemoth Google to help manufacture more chip technology that

Contacts

Group Leader