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Minsuk Koo, Matthew R. Pufall, Yong Shim, Anthony B. Kos, Gyorgy Csaba, Wolfgang Porod , William H. 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 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
Emilie M. Jue, William H. Rippard, Matthew R. Pufall
We have studied magnetization dynamics in three-terminal spin-torque oscillators (STOs) and present a direct method to compare the efficiencies of exciting