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Conferences

HALO - High Amplification Laser-pressure Optic

Author(s)
Alexandra B. Artusio-Glimpse, Kyle A. Rogers, Paul A. Williams, John H. Lehman
Efforts are underway at the National Institute of Standards and Technology to drastically reduce the uncertainty of laser power measurements using radiation

The 2019 NIST Audio-Visual Speaker Recognition Evaluation

Author(s)
Seyed Omid Sadjadi, Craig S. Greenberg, Elliot Singer, Douglas A. Reynolds, Lisa Mason, Jaime Hernandez-Cordero
In 2019, the U.S. National Institute of Standards and Technology (NIST) conducted the most recent in an ongoing series of speaker recognition evaluations (SRE)

The 2019 NIST Speaker Recognition Evaluation CTS Challenge

Author(s)
Seyed Omid Sadjadi, Craig S. Greenberg, Elliot Singer, Douglas Reynolds, Lisa Mason, Jaime Hernandez-Cordero
In 2019, the U.S. National Institute of Standards and Technology (NIST) conducted a leaderboard style speaker recognition challenge using conversational

Chemical Structure of Medium-Scale Liquid Pool Fires

Author(s)
Ryan L. Falkenstein-Smith, Kunhyuk Sung, Jian Chen, Anthony P. Hamins
This work documents a series of time-averaged local gas species measurements made throughout the centerline profile of 30 cm methanol, ethanol, and acetone pool

The Characteristics of a 1 m Methanol Pool Fire

Author(s)
Kunhyuk Sung, Jian Chen, Matthew F. Bundy, Anthony P. Hamins
A series of measurements was made to characterize the structure of a 1 m diameter methyl 12 alcohol (methanol; CH3OH) pool fire steadily burning with a constant

AlGaN/GaN core-shell heterostructures for nanowire UV LEDs

Author(s)
Matthew D. Brubaker, Bryan T. Spann, Kristen L. Genter, Alexana Roshko, Paul T. Blanchard, Todd E. Harvey, Kristine A. Bertness
Nanowire-based ultraviolet (UV) LEDs hold great promise as nanoscale light sources, potentially enabling advanced scanning microscopy probes capable of

Streaming Batch Gradient Tracking for Neural Network Training

Author(s)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
Faster and more energy efficient hardware accelerators are critical for machine learning on very large datasets. The energy cost of performing vector-matrix

X-Ray Metrology of Nanowire/ Nanosheet FETs for Advanced Technology Nodes

Author(s)
Madhulika S. Korde, Regis J. Kline, Daniel F. Sunday, Nick Keller, Subhadeep Kal, Cheryl Alix, Aelen Mosden, Alain C. Diebold
The three-dimensional architectures for field effect transistors (FETs) with vertical stacking of Gate-all-Around Nanowires provide a pathway to increased