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Michael Schneider, Emily Toomey, Graham Rowlands, Jeff Shainline, Paul Tschirhart, Ken Segall
Neuromorphic computing is a broad eld that uses biological inspiration to address computing design. It is being pursued in many hardware technologies both novel
Hans Nembach, Robert McMichael, Michael Schneider, Justin Shaw, Thomas J. Silva
Motivated by the importance of magnetization dynamics in nanomagnets for the development and optimization of magnetic devices and sensors, we measured and
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
Adam N. McCaughan, Michael L. Schneider, Sae Woo Nam, Emily Toomey, Karl Berggren
We present a kinetic-inductance-based superconducting memory element that had non-destructive readout, femtojoule read and write energies, had both read and