Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Stephen E. Russek (Fed)

Stephen E. Russek obtained an A.B. in physics from Harvard University in 1980, spent two years working at AT&T Bell Laboratories researching advanced silicon devices, and then obtained a Ph.D. in physics from Cornell University in 1990 in superconducting devices. He currently leads the Imaging Physics Project in the Magnetic Imaging Group at NIST and codirects the MRI Biomarker Measurement Service. He is author/coauthor of over 250 peer-reviewed publications with over 10000 citations, has written several book chapters, has three patents, and is a fellow of the American Physical Society. He is a recipient of the Department of Commerce bronze, silver, and gold medals, and Ron Brown award for his work on neuromorphic technology, spintronics and spin oscillators, MRI phantoms, and quantitative medical imaging. He is the recipient of the Colorado CO-Labs award for high impact research. He has been the supervisor for over 25 undergraduate/graduate students and postdoctoral fellows. He is a senior member of IEEE, and an active member of the medical physics group in American Physical Society, the International Society of Magnetic Resonance in Medicine, and the Radiological Society of North America.

Current Research Projects


Electromagnetics for Quantitative Magnetic Resonance Imaging

Stephen E. Russek, Karl F. Stupic, Joshua R. Biller, Michael A. Boss, Kathryn E. Keenan, Elizabeth Mirowski
Magnetic Resonance Imaging (MRI) is based on radio frequency (RF) interrogation of the human body at frequencies between 40 MHz to 300 MHz. An RF transmitter


Neural Member, Neural Network, and Neurological Memory

NIST Inventors
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
Created August 1, 2019, Updated July 1, 2021