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Displaying 26 - 50 of 74219

Measurement-driven neural-network training for integrated magnetic tunnel junction arrays

May 14, 2024
Author(s)
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

Underestimation of Thermogenic Methane Emissions in New York City (New York City methane emissions: what are we missing?)

May 14, 2024
Author(s)
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

Entangled photon pair generation in an integrated SiC platform

May 9, 2024
Author(s)
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

NIST Conference Papers Fiscal Year 2022

May 9, 2024
Author(s)
Kathryn Miller, Julie Jew, Myriam S. Dilawari
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).

An atomic boson sampler

May 8, 2024
Author(s)
Aaron Young, Shawn Geller, William Eckner, Nathan Schine, Scott Glancy, Emanuel Knill, Adam Kaufman

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

May 8, 2024
Author(s)
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

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

May 8, 2024
Author(s)
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

Single-electron states of phosphorus-atom arrays in silicon

May 8, 2024
Author(s)
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

Usability for Poll Workers: A Voting System Usability Test Protocol

May 8, 2024
Author(s)
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

Access Control on NoSQL Databases

May 7, 2024
Author(s)
Vincent C. Hu
NoSQL database systems and data stores often outperform traditional RDBMS in various aspects, such as data analysis efficiency, system performance, ease of deployment, flexibility/scalability of data management, and users' availability. However, with an

JARVIS-Leaderboard: A Large Scale Benchmark of Materials Design Methods

May 7, 2024
Author(s)
Kamal Choudhary, Daniel Wines, Kevin Garrity, aldo romero, Jaron Krogel, Kayahan Saritas, Panchapakesan Ganesh, Paul Kent, Pascal Friederich, Vishu Gupta, Ankit Agrawal, Pratyush Tiwary, ichiro takeuchi, Robert Wexler, Arun Kumar Mannodi-Kanakkithodi, Avanish Mishra, Kangming Li, Adam Biacchi, Francesca Tavazza, Ben Blaiszik, Jason Hattrick-Simpers, Maureen E. Williams
Reproducibility and validation are major hurdles for scientific development across many fields. Materials science in particular encompasses a variety of experimental and theoretical approaches that require careful benchmarking. Leaderboard efforts have

Metropolitan-scale Entanglement Distribution, with Co-existing Quantum and Classical Signals in a single fiber

May 7, 2024
Author(s)
Anouar Rahmouni, Paulina Kuo, Ya-Shian Li-Baboud, Ivan Burenkov, Yicheng Shi, Jabir Marakkarakath Vadakkepurayil, Nijil Lal Cheriya Koyyottummal, Dileep Reddy, Mheni Merzouki, Lijun Ma, Abdella Battou, Sergey Polyakov, Oliver T. Slattery, Thomas Gerrits
The development of prototype metropolitan-scale quantum networks is underway and entails transmitting quantum information via single photons through deployed optical fibers spanning several tens of kilometers. Among the major challenges in metropolitan
Displaying 26 - 50 of 74219