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Philippe Talatchian, Matthew Daniels, Advait Madhavan, Matthew Pufall, Emilie Jue, William Rippard, Jabez J. McClelland, Mark D. Stiles
Superparamagnetic tunnel junctions (SMTJs) are promising sources for the randomness required by some compact and energy-efficient computing schemes. Coupling
Minsuk Koo, Matthew Pufall, Yong Shim, Anthony B. Kos, Gyorgy Csaba, Wolfgang Porod , William Rippard, Kaushik Roy
Recent research on nano-oscillators has shown the possibility of using a coupled-oscillator network as a core-computing primitive for non-Boolean computation
Michael L. Schneider, Christine A. Donnelly, Ian W. Haygood, Alex Wynn, Stephen E. Russek, Manuel C. Castellanos Beltran, Paul D. Dresselhaus, Peter F. Hopkins, Matthew R. Pufall, William H. Rippard
Josephson junctions act as a natural spiking neuron-like device for neuromorphic computing. By leveraging the advances recently demonstrated in digital single
Michael Schneider, Christine A. Donnelly, Stephen E. Russek, Burm Baek, Matthew Pufall, Pete Hopkins, William Rippard
Many neuromorphic hardware technologies are being explored for their potential to increase the efficiency of computing certain problems, and thus facilitate
Stephen E. Russek
,
William Rippard
and
Matthew Pufall
Patent Description We propose a new form of artificial synapse based on dynamically reconfigurable superconducting Josephson junctions with magnetic clusters in the barrier. The spiking energy per pulse varies with the magnetic configuration. The critical current of each magnetic Josephson junction