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Search Publications

NIST Authors in Bold

Displaying 7351 - 7375 of 73697

Nonlinearity and ionization in Xe: Experiment-based calibration of a numerical model

October 12, 2020
Author(s)
Joseph Tolliver, Sina Zahedpour, Jared Wahlstrand, H M. Milchberg, Miroslav Kolesik
A model for the optical response of Xenon, including the nonlinear polarization and ionization rate, is calibrated with the help of space-and-time resolved measurements. Utilizing an idea of universal functional form for the response as a function of the

Improved plutonium and americium photon branching ratios from microcalorimeter gamma spectroscopy

October 11, 2020
Author(s)
M. D. Yoho, K. E. Koehler, Dan Becker, Douglas Bennett, M. H. Carpenter, M. P. Croce, J. D. Gard, John Mates, D. J. Mercer, Nathan Ortiz, Dan Schmidt, C. M. Smith, Daniel Swetz, A. D. Tollefson, Joel Ullom, Leila R. Vale, Abigail Wessels, D. T. Vo
Photon branching ratios are critical input data for activities such as nuclear materials protection and accounting because they allow material compositions to be extracted from measurements of gamma-ray intensities. Uncertainties in these branching ratios

Storing and retrieving wavefronts with resistive temporal memory

October 10, 2020
Author(s)
Advait Madhavan, Mark D. Stiles
We extend the reach of temporal computing schemes by developing a memory for multi-channel temporal patterns or "wavefronts." This temporal memory re-purposes conventional one-transistor-one-resistor (1T1R) memristor crossbars for use in an arrival-time

Trojan Detection Evaluation: Finding Hidden Behavior in AI Models

October 10, 2020
Author(s)
Michael Majurski, Derek Juba, Timothy Blattner, Peter Bajcsy, Walid Keyrouz
Neural Networks are trained on data, learn relationships in that data, and then are deployed to the world to operate on new data. For example, a traffic sign classification AI can differentiate stop signs and speed limit signs. One potential problem is

Position-Dependent Diffusion Dynamics of Entangled Polymer Melts Nanoconfined by Parallel Immiscible Polymer Films

October 9, 2020
Author(s)
Kyong-Il Jo, Yonghoon Oh, Tae-Ho Kim, Joona Bang, Guangcui Yuan, Sushil K. Satija, Bong J. Sung, Jaseung Koo
The morphological structure and dynamics of confined polymers adjacent to the polymer–polymer interface have a profound effect on determining the overall physical properties of polymer blends. We measured the diffusion dynamics of polymethylmethacrylate

Extrapolation And Interpolation Strategies For Efficiently Estimating Structural Observables As a Function Of Temperature And Density

October 8, 2020
Author(s)
Jacob I. Monroe, Harold Wickes Hatch, Nathan NMN Mahynski, M. Scott Shell, Vincent K. Shen
Thermodynamic extrapolation has previously been used to predict arbitrary structural observables in molecular simulations at temperatures (or relative chemical potentials in open- system mixtures) different from those at which the simulation was performed

Rheology of Crystallizing LLDPE

October 8, 2020
Author(s)
Marat Andreev, David Nicholson, Anthony Kotula, Jonathan D. Moore, Jaap Den Doelder, Gregory C. Rutledge
Polymer crystallization occurs in many plastic manufacturing processes, from injection molding to film blowing. Linear low-density polyethylene (LLDPE) is one of the most commonly processed polymers, wherein the type and extent of short chain branching

Two-temperature preparation method for PDMS-based canine training aids for explosives

October 8, 2020
Author(s)
William A. MacCrehan, Mimy Young, Michele M. Schantz, T C. Angle, Paul Waggoner, Terrance Fisher
Training aids based on vapor capture-and-release into a flexible polymer, polydimethylsiloxane (PDMS), have proven successful in canine detection of explosives that have volatile or semi- volatile odorants. To enhance the rate of odor capture for less

Cybersecurity Framework Version 1.1 Manufacturing Profile

October 7, 2020
Author(s)
Keith A. Stouffer, Timothy Zimmerman, CheeYee Tang, Michael Pease, Jeffrey Cichonski, John McCarthy
This document provides the Cybersecurity Framework (CSF) Version 1.1 implementation details developed for the manufacturing environment. The "Manufacturing Profile" of the CSF can be used as a roadmap for reducing cybersecurity risk for manufacturers that

Frequency tunable label-free surface acoustic wave-based flow sensor

October 7, 2020
Author(s)
Aurore F. Quelennec, Jason J. Gorman, Darwin Reyes-Hernandez
We present a label-free SAW-based flow sensor with enhanced precision and repeatability. This sensor improves the signal-to-noise ratio by one order of magnitude (dB scale) at an optimized frequency, and lowers the measurable flow rate to 5 μL/min (from

Enhanced observation time of magneto-optical traps using micro-machined non-evaporable getter pumps

October 6, 2020
Author(s)
Rodolphe Boudot, James P. McGilligan, Kaitlin R. Moore, Vincent N. Maurice, Gabriela Martinez, Azure L. Hansen, E. de Clercq, Elizabeth Donley, John Kitching
We show that micro-machined non-evaporable getter pumps (NEGs) can extend the time over which laser cooled atoms can be produced in a magneto-optical trap (MOT), in the absence of other vacuum pumping mechanisms. In a first study, we incorporate a silicon

Hydrogen embrittlement in ferritic steels

October 6, 2020
Author(s)
May L. Martin, Matthew J. Connolly, Frank W. DelRio, Andrew J. Slifka
The deleterious effects of hydrogen on the physical properties of metals have been known for over a century. Despite extensive work over that time period, there are still significant questions related to the “hydrogen embrittlement” of ferritic steels due

Particle Size Distributions for Cellulose Nanocrystals Measured by Transmission Electron Microscopy: An Interlaboratory Comparison

October 6, 2020
Author(s)
John E. Bonevich, Juris Meija, Bushell Michael, Martin Couillard, Kai Cui, Johan Foster, Douglas M. Fox, Markus Heidelmann, Byong Chon Park, Lingling Ren, Aleksandr B. Stefaniak, Ralf Theissmann, Natalia de Val Alda, Linda Johnston
Particle size is one of the key parameters that must be measured to ensure reproducible production of cellulose nanocrystals (CNCs) from various types of cellulose biomass and by different producers. It is also important for achieving reliable performance

A structure and activity relationship for single-walled carbon nanotube growth confirmed by in situ observations and modeling

October 5, 2020
Author(s)
Chao (. Hsin-Yun, Jiang Hua, Acevedo O. Francisco, Perla Balbuena, Esko Kauppinen, John Cumings, Renu Sharma
The structure and phase transformation of cobalt (Co) catalyst, during single walled carbon nanotube (SWCNT) growth, is elucidated for inactive, active and deactivated nanoparticles by in-situ imaging using an environmental transmission electron microscope

Harnessing dispersion in soliton microcombs to mitigate thermal noise

October 5, 2020
Author(s)
Jordan Stone, Scott Papp
We explore intrinsic thermal noise in soliton microcombs, revealing thermodynamic correlations induced by nonlinearity and group-velocity dispersion. A suitable dispersion design gives rise to control over thermal-noise transduction from the environment to

The National Bureau of Standards Reactor at the NIST Center for Neutron Research

October 5, 2020
Author(s)
Thomas Newton, Daniel J. Flynn, Robert Williams
The National Bureau of Standards Reactor at the NIST Center for Neutron Research (NCNR) is a 20 MW reactor using 93% enriched UO 2 plate-type fuel with D 2O coolant, moderator, and reflector, and is used for a variety of neutron science applications. 23 of

Matching and comparing objects in a serial cytometer

October 4, 2020
Author(s)
Nikita Podobedov, Matthew DiSalvo, Jason A. Hsu, Paul Patrone, Gregory A. Cooksey
Flow cytometers are indispensable for clinical studies, yet are hindered by inherent uncertainties. We have developed an optofluidic device capable of multiple measurements along a microfluidic channel, whereby many of the uncertainty components can be
Displaying 7351 - 7375 of 73697
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