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Search Publications

NIST Authors in Bold

Displaying 226 - 250 of 74434

Programmable electrical coupling between stochastic magnetic tunnel junctions

March 29, 2024
Author(s)
Sidra Gibeault, Temitayo Adeyeye, Liam Pocher, Daniel Lathrop, Matthew Daniels, Mark Stiles, Jabez J. McClelland, William Borders, Jason Ryan, Philippe Talatchian, Ursula Ebels, Advait Madhavan
Superparamagnetic tunnel junctions (SMTJs) are promising sources of randomness for compact and energy efficient implementations of various probabilistic computing techniques. When augmented with electronic circuits, the random telegraph fluctuations of the

Unbiased random bitstream generation using injection-locked spin-torque nano-oscillators

March 29, 2024
Author(s)
Nhat-Tan PHAN, Nitin Prasad, Abderrazak Hakam, Ahmed SIDI EL VALLI, Lorena Anghel, Luana Carina Benetti, Advait Madhavan, Alex Jenkins, Ricardo Ferreira, Mark Stiles, Ursula Ebels, Philippe Talatchian
Unbiased sources of true randomness are critical for the successful deployment of stochastic unconventional computing schemes and encryption applications in hardware. Leveraging nanoscale thermal magnetization fluctuations provides an efficient and almost

Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks

March 27, 2024
Author(s)
Md. Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Arun Kumar Mannodi-Kanakkithodi, Brian DeCost, Kamal Choudhary
First principles computations reliably predict the energetics of point defects in semiconductors, but are constrained by the expense of using large supercells and advanced levels of theory. Machine learning models trained on computational data, especially

Comparison of a 1 nF Capacitor with a 1 kO Resistor Using a Digital Impedance Bridge

March 27, 2024
Author(s)
Yicheng Wang, Stephan Schlamminger, Dean G. Jarrett, Alireza Panna, Andrew D. Koffman
This paper reports our effort to improve a digital impedance bridge. The limit of the bridge resolution and stability is less than 3 parts in 10^9 for the nominal 1:1 impedance comparison of two 100 pF capacitors. The type-A uncertainty for comparison of a

The Quantum Electro-Mechanical Metrology Suite

March 27, 2024
Author(s)
Frank Seifert, Lorenz Keck, David B. Newell, Darine El Haddad
The National Institute of Standards and Technology (NIST) is building a robust open-source hardware and software Quantum Electro-Mechanical Metrology Suite (QEMMS) that can provide quantum voltage, resistance, current, mass, and force dissemination

Workshop on Quantifying Methane Emissions Across Natural Gas Infrastructure in Urban Environments

March 27, 2024
Author(s)
Anna Karion, Paul Shepson, Thomas Butcher, Roisin Commane, Julianne M Fernandez, Tom Ferrara, Kristian Hajny, Robert Jackson, Brian Lamb, Israel Lopez Coto, Zeyneb Magavi, Brian McDonald, Zachary Merrin, Scot Miller, Kimberly Mueller, Lee Murray, Joseph Pitt, Rick Trieste, Rebecca Trojanowski, Joseph von Fischer
A workshop was held at the EDF offices in Washington, DC, on June 15 and 16, 2022, to discuss the current state of knowledge and to define productive courses of action in better determination and source apportionment of methane emission rates, and

AI Use Taxonomy: A Human-Centered Approach

March 26, 2024
Author(s)
Mary Frances Theofanos, Yee-Yin Choong, Theodore Jensen
As artificial intelligence (AI) systems continue to be developed, humans will increasingly participate in human-AI interactions. Humans interact with AI systems to achieve particular goals. To ensure that AI systems contribute positively to human-AI

Certification Approaches for Weigh-In-Motion Systems in Law Enforcement Applications

March 26, 2024
Author(s)
Katrice Lippa, Jan Konijnenburg, Loren Minnich, Tanvi Pandya, James Willis
Every day, overweight and excessively heavy vehicles cause damage to roads, bridges, and other vehicle-based infrastructure. To protect this vital transportation infrastructure for the U.S., states have imposed weight limits for commercial and fleet

An Evaluation of Methods for Assessing Robot Kinematic Model Accuracy in the Presence of Noise

March 25, 2024
Author(s)
Mitchell R. Woodside, Patrick Bazzoli, Philip A. Olubodun, J. Adam Nisbett, Helen Qiao, Douglas A. Bristow
While there are many works developing methods for modeling and calibrating robot kinematics, assessing the accuracy of those models has received little attention. However, accuracy assessment is critically important for applications where the robot must

Bilayer crystals of trapped ions for quantum information processing

March 25, 2024
Author(s)
Samarth Hawalder, Prakriti Shahi, Allison Carter, Ana Maria Rey, John J. Bollinger, Athreya Shankar
Trapped ion systems are a leading platform for quantum information processing, but they are currently limited to 1D and 2D arrays, which imposes restrictions on both their scalability and their range of applications. Here, we propose a path to overcome

Excited-Band Coherent Delocalization for Improved Optical Lattice Clock Performance

March 24, 2024
Author(s)
Jacob Siegel, Andrew Ludlow, Youssef Hassan, Kyle Beloy, Tanner Grogan, Chun-Chia Chen
We implement coherent delocalization as a tool for improving the two primary metrics of atomic clock performance: systematic uncertainty and instability. By decreasing atomic density with co- herent delocalization, we suppress cold-collision shifts and two

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis

March 23, 2024
Author(s)
Zongxia Li, Andrew Mao, Jordan Boyd-Graber, Daniel Stephens, Emily Walpole, Alden A. Dima, Juan Fung
Topic models are a popular tool for understanding text collections, but their evaluation has been a point of contention. Automated evaluation metrics such as coherence are often used, however, their validity has been questioned for neural topic models

A case study of multi-modal, multi-institutional data management for the combinatorial materials science community

March 22, 2024
Author(s)
Sarah Allec, Eric Muckley, Nathan Johnson, Christopher Borg, Dylan Kirsch, Joshua B. Martin, Ichiro Takeuchi, Andrew Lee, James Saal, Logan Ward, Apruva Mehta
Although the convergence of high-performance computing, automation, and machine learning has significantly altered the materials design timeline, transformative advances in functional materials and acceleration of their design will require addressing the

NIST Scientific Integrity Program Annual Report

March 22, 2024
Author(s)
Anne Andrews, Justyna Zwolak
This report summarizes the findings of the National Institute of Standards and Technology Scientific Integrity Program assessment of the program for the period between 1 June 2022 and 30 September 2023. It provides an assessment of the current state of the

Visualizing 3D Morphologies and Spatial Heterogeneities of Li after Fast- Charging via In-situ Neutron Tomography

March 22, 2024
Author(s)
Maha Yusuf, Anders Kaestner, Markus Wied, Jacob LaManna, Nghia Vo, Alison Dunlop, Andrew Jansen, Bryant Polzin, Stephen Trask, Markus Strobl, Vanessa Wood, Michael Toney, Johanna Weker
Mechanistic understanding of Li plating is imperative to developing fast-charging batteries for sustainable electric vehicles. Here, we report in-situ 3D characterization of the morphology and spatial heterogeneities of Li plating using neutron micro

KNOWLEDGE EXTRACTION IN ADDITIVE MANUFACTURING A FORMAL CONCEPT ANALYSIS APPROACH

March 20, 2024
Author(s)
Zhuo Yang, Yan Lu, Yande Ndiaye, Mario Lezoche, Herve Panetto
In Additive Manufacturing (AM), it is still a major challenge to manage part quality, which is heavily influenced by feedstock materials, process settings, and in-process control. Deviations in these factors can lead to defects in the final product
Displaying 226 - 250 of 74434