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Displaying 1676 - 1700 of 73913
M S Raunak, D. Richard Kuhn, Raghu N. Kacker, Yu Lei
A key question in software assurance is, "How much testing is enough?" Coverage criteria such as statement or branch coverage were developed to help answer this question, but we also need to measure whether tests are sufficiently representative of inputs
Juan Fung, Zongxia Li, Daniel Stephens, Andrew Mao, Pranav Goel, Emily Walpole, Alden A. Dima, Jordan Boyd-Graber
In this report, we address the following question: to what extent can machine learning assist a human with traditional text analysis, such as content analysis or grounded theory in the social sciences? In practice, such tasks require humans to review and
William Borders, Advait Madhavan, Matthew Daniels, Vasileia Georgiou, Martin Lueker-Boden, Tiffany Santos, Patrick Braganca, Mark Stiles, Jabez J. McClelland, Brian Hoskins
The increasing scale of neural networks needed to support more complex applications has led to an increasing requirement for area- and energy-efficient hardware. One route to meeting the budget for these applications is to circumvent the von Neumann
The protection of Controlled Unclassified Information (CUI) is of paramount importance to federal agencies and can directly impact the ability of the Federal Government to successfully conduct its essential missions and functions. This publication provides
David Pamies, Jason Ekert, Marie-Gabrielle Zurich, Olivier Frey, Sophie Werner, MONICA PIERGIOVANNI, Benjamin Freedman, Adrian Keong, Darwin Reyes-Hernandez, Hendrik Erfurth, Peter Loskill, Pelin Candarlioglu, Shan Wang, Thomas Hartung, Sandra Coecke, Glyn Stacey, Marcel Leist
Cell culture technology has seen great innovations and progress in the 21st centuryClassical single-cell and monolayer models have been replaced by more complex 3D models (e.g., reaggregates, spheroids, organoids) to improve the predictivity of in vitro
Joseph R. Pitt, Israel Lopez Coto, Anna Karion, Kristian D. Hajny, Jay M. Tomlin, Robert Kaeser, Thilina Jayarathne, Brian H. Stirm, Cody R. Floerchinger, Christopher P. Loughner, Roisin Commane, Conor K. Gately, Lucy R. Hutyra, Kevin R. Gurney, Geoffrey S. Roest, Jianming Liang, Sharon Gourdji, Kimberly Mueller, James Whetstone, Paul B. Shepson
Recent studies have shown that methane emissions are underestimated by inventories in many US urban areas. This has important implications for climate change mitigation policy at the city, state, and national levels. Uncertainty in both the spatial
Jerome Cheron, Rob Jones, Dylan Williams, Miguel Urteaga, Bryan Bosworth, Nick Jungwirth, Jeffrey Jargon, Ben Jamroz, Chris Long, Nate Orloff, Ari Feldman, Peter Aaen
We report a novel design approach of on-wafer multiline thru-reflect-line (mTRL) calibration kit fabricated on a commercial semiconductor-based transistor process that we validate from 0.1 GHz to 1.1 THz. The on-wafer calibration standards are designed
The observation of superconductivity in hydride-based materials under ultrahigh pressures (for example, H3S and LaH10) has fueled the interest in a more data-driven approach to discovering new high-pressure hydride superconductors. In this work, we
Time-sensitive networking (TSN) is an emerging topic for the advancement of wireless networking for industrial applications. TSN, as defined under the umbrella of IEEE 802.1 working group standards, addresses issues related to providing deterministic
Christina Maimone, Julia Sharp, Ofira Schwartz-Soicher, Jeffrey Oliver, Lencia Beltran
Leading a data science or statistical consulting team in an academic environment can have many challenges including institutional infrastructure, funding, and technical expertise. Even in the most challenging environment, however, leading such a team with
Mohamed Hany, Jing Geng, Karl Montgomery, Rick Candell
The use of IEEE 802.11 Wi-Fi in industrial applications has been enabled by Time-sensitive networking capabilities to achieve deterministic communications within time-critical applications. However, the medium access control (MAC) layer of the IEEE 802.11
Oluwagbemiga Ojo, Long Ma, Wilarachchige Gunatilleke, Adam Biacchi, Hsin Wang, Lilia Woods, George Nolas
Quaternary chalcogenides of different structure types continue to be of interest due to the novel physical properties they exhibit and for applications ranging from optoelectronics to energy-related technologies. Herein we report on the electronic and
Leon Brendel, Silvan Bernal, Carl Hemprich, Aaron Rowane, Ian Bell, Dennis Roskosch, Cordin Arpagus, Andre Bardow, Stefan Bertsch
Refrigerant mixtures are frequently used in air-conditioners and heat pumps. However, mixtures with high glides of 30 K and more during evaporation are rare, partially because there is an increased concern about composition shifts within the system. An
Anouar Rahmouni, Lijun Ma, Ruixuan Wang, Jingwei Li, Xiao Tang, Thomas Gerrits, Qing Li, Oliver T. Slattery
Entanglement plays a vital role in quantum information processing. Owing to its unique material properties, silicon carbide recently emerged as a promising candidate for the scalable implementation of advanced quantum information processing capabilities
Kunhuan Liu, Zhijie Chen, Timur Islamoglu, Seung-Joon Lee, Haoyuan Chen, Taner N. Yildirim, Omar Farha, Randall Snurr
Hydrogen is considered a crucial clean energy vector to mitigate climate change, but due to the low volumetric energy density of gaseous hydrogen, it is difficult to store hydrogen for many practical applications. Cryogenic sorption-based methods
This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2022 (October 1, 2021–September 30, 2022).
Thomas A. Germer, Thomas Brian Renegar, Ulf Griesmann, Johannes A. Soons
The vertical scale calibration of an interferometric microscope is important for establishing traceability of surface topography measurements to the International System of Units (SI) unit of length, the meter. Building on the calibration procedure for the
Projected squeezed (PS) states are multipartite entangled states generated by unitary spin squeezing, followed by a quantum measurement and post-selection. They lead to an appreciable decrease in the state preparation time of the maximally entangled N
Noah Schlossberger, Nik Prajapati, Samuel Berweger, Andrew Rotunno, Aly Artusio-Glimpse, Abrar Sheikh, Eric Norrgard, Christopher L. Holloway, Stephen Eckel
Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields
Noah Schlossberger, Nik Prajapati, Samuel Berweger, Aly Artusio-Glimpse, Matt Simons, Abrar Sheikh, Andrew Rotunno, Eric Norrgard, Stephen Eckel, Christopher L. Holloway
Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields
Maicol Ochoa, Keyi Liu, Michal Zielinski, Garnett W. Bryant
We characterize the single-electron energies and the wavefunction structure of arrays with two, three, and four phosphorus atoms in silicon by implementing atomistic tight-binding calculations and analyzing wavefunction overlaps to identify the single
Dana Chisnell, Sharon J. Laskowski, Karen Bachmann, Svetlana Z. Lowry
In this paper, we discuss our efforts to develop a repeatable test protocol for assessing usability for poll workers – temporary election officials who ensure secure and private voting in voting places. The research described in this paper is part of a