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William Rippard

Publications

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

Ultralow power artificial synapses using nanotextured magnetic Josephson junctions

Author(s)
Michael L. Schneider, Christine A. Donnelly, Stephen E. Russek, Burm Baek, Matthew R. Pufall, Peter F. Hopkins, Paul D. Dresselhaus, Samuel P. Benz, William H. Rippard
Neuromorphic computing is a promising avenue to dramatically improve the efficiency of certain computational tasks, such as perception and decision making.

Physical implementation of coherently-coupled oscillator networks

Author(s)
Matthew R. Pufall, William H. Rippard, Gyorgy Csaba, Wolfgang Porod, George Bourianoff, Dmitri Nikonov
We present a combined experimental and simulation study of the physical implementation of coherently coupled oscillator networks composed of spin-torque
Created October 9, 2019