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Jabez J McClelland ()

Group Leader

Jabez McClelland is the Group Leader of the Alternative Computing Group in the Nanoscale Device Characterization Division of the Physical Measurement Laboratory (PML). He received a B.A. in Physics and Music from Wesleyan University, and M.A. and Ph.D. degrees in Physics from the University of Texas at Austin. During his graduate studies he spent a year as a Fulbright Fellow at the Freie Universität Berlin. Jabez came to NIST as a postdoctoral research associate in the Electron Physics Group, where he subsequently served as a research physicist and became Group Leader in 2006.  In 2018 he assumed leadership of the Alternative Computing Group.  His research at NIST has covered several topics, including spin-polarized low energy electron scattering from laser excited atoms, laser focused atomic deposition, metastable-atom lithography, deterministic single-atom sources, cold-atom ion sources, and neuromorphic computing.  He has over 139 publications, is a frequent invited speaker at international meetings, holds nine patents, and is considered one of the world experts on atom optics. He currently leads projects on focused ion beam sources based on laser cooled atoms and measurements for neuromorphic information processing.

Projects

Selected Publications

Awards

Jacob Rabinow Applied Research Award (2019)

Microscopy Today Innovation Award (2015)

US Dept. of Commerce Gold Medal (2006)

Fellow, Optical Society of America (2004)

Fellow, American Physical Society (1998)

US Dept. of Commerce Silver Medal (1992)

NBS Chapter of Sigma Xi Award for Excellence in Science (1988)

Publications

Neural networks three ways: unlocking novel computing schemes using magnetic tunnel junction stochasticity

Author(s)
Matthew Daniels, William Borders, Nitin Prasad, Advait Madhavan, Sidra Gibeault, Temitayo Adeyeye, Liam Pocher, Lei Wan, Michael Tran, Jordan Katine, Daniel Lathrop, Brian Hoskins, Tiffany Santos, Patrick Braganca, Mark Stiles, Jabez J. McClelland
Due to their interesting physical properties, myriad operational regimes, small size, and industrial fabrication maturity, magnetic tunnel junctions are

Characterization of Noise in CMOS Ring Oscillators at Cryogenic Temperatures

Author(s)
Prashansa Mukim, Pragya Shrestha, Advait Madhavan, Nitin Prasad, Jason Campbell, Forrest Brewer, Mark Stiles, Jabez J. McClelland
Allan deviation provides a means to characterize the time-dependence of noise in oscillators and potentially identify the source characteristics. Measurements

Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions

Author(s)
Jonathan Goodwill, Nitin Prasad, Brian Hoskins, Matthew Daniels, Advait Madhavan, Lei Wan, Tiffany Santos, Michael Tran, Jordan Katine, Patrick Braganca, Mark Stiles, Jabez J. McClelland
The increasing scale of neural networks and their growing application space have produced a demand for more energy and memory efficient artificial-intelligence

Patents (2018-Present)

Prelithiated Lithium Ion Battery And Making A Prelithiated Lithium Ion Battery

NIST Inventors
Christopher Soles , Vladimir Oleshko and Jabez J McClelland
A prelithiated lithium ion battery includes: ion beam implanted lithium; a cathode; and an anode disposed on the cathode and an electrolyte in electrical communication with the cathode and the anode, the cathode or the anode including the ion beam implanted lithium such that: when the cathode

Dry Prelithiation Of Electrode Materials For Lithium Batteries And Supercapacitors By Controlled Dose Low Energy Implantation Of Lithium Ions

NIST Inventors
Christopher Soles , Vladimir Oleshko and Jabez J McClelland
In this disclosure, we describe a method of creating new and improved battery electrodes by doping conventional battery electrode materials with dry lithium (Li+) ions, using ion implantation techniques under vacuum. This dry "prelithiation" step will both (a) increase the amount of active Li+ in
Created October 9, 2019, Updated December 8, 2022