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William Rippard (Fed)

William H. Rippard is the Group Leader of the Spin Electronics Group in the Quantum Electrodynamics Division. The Group develops and advances metrologies for spin-based devices focusing on transport of electrons, heat flow, and spin excitations for advancing novel computing devices, neuromorphic hardware, and quantum-enhanced magnetic sensing. Their measurements concentrate on high-frequency behaviors, properties, and imaging of nanoscale devices and hybrid (e.g. superconducting/ferromagnet and CMOS/ferromagnet) structures for advanced computing. Dr Rippard received BS degrees in both Physics and Mathematics from the University of Florida in 1994 and a PhD in Applied Physics from Cornell University in 2000. Bill joined NIST as an NRC postdoctoral in 2000 fellow and became a permanent staff member in 2004 pursing metrology in spin-based devices with the goal of better understanding and utilizing the spin of the electron for practical applications in nanoscale devices. He has over 70 peer reviewed publications including high-profile journals such as Nature and Physical Review Letters. He received the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2008 along with Silver and Bronze awards during his time at NIST along with a patent in 2019. He served as Acting Division Chief for the Quantum Electromagnetics Division for the last two years before stepping down in March 2023.


Synaptic weighting in single flux quantum neuromorphic computing

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

Energy efficient single flux quantum based neuromorphic computing

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

Patents (2018-Present)

Neural Member, Neural Network, and Neurological Memory

NIST Inventors
Stephen E. Russek , William Rippard and Matthew Pufall
A neural member includes: an axonal superconducting electrode; a dendritical superconducting electrode disposed opposing the axonal superconducting electrode; a synaptic barrier interposed between the axonal superconducting electrode and the dendritical superconducting electrode and including a
Created October 9, 2019, Updated May 15, 2023