Skip to main content

NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications

NIST Authors in Bold

Displaying 826 - 850 of 73697

Impacts of Alfalfa Nutrient Concentrate on Pellet Physical Attributes, Growth Performance, Metabolism and Nutritional Quality of Rainbow Trout, Oncorhynchus mykiss

November 8, 2024
Author(s)
Hu Chen, Patrick Blaufuss, Dong-Fang Deng, Fabio Casu, Emma Kraco, Brian Shepherd, Wendy Sealey, Aaron Watson, Matthew Digman, Deborah Samac
This study addresses the escalating demand for aquatic feed by exploring the potential of alfalfa nutrient concentrate (ANC) as feed ingredient for rainbow trout. Test diets contained varying ANC levels (0%, 5%, 10%, 15%, and 20%) to replace fishmeal (32%

Results from a multi-laboratory ocean metaproteomic intercomparison: effects of LC-MS acquisition and data analysis procedures

November 8, 2024
Author(s)
Mak Saito, Jaclyn Saunders, Matthew McIlvin, Erin Bertrand, John Breier, Margaret Brisbin, Sophie Colston, Jaimee Compton, Tim Griffin, Judson Harvey, Robert Hettich, Pratik Jagtap, Michael Janech, Rod Johnson, Rick Keil, Hugo Kleikamp, Dasha Leary, Scott McCain, Eli Moore, Subina Mehta, Dawn Moran, Jacqui Neibauer, Benjamin Neely, Michael Jakuba, Jim Johnson, Megan Duffy, Gerhard Herndl, Richard Giannone, Ryan Mueller, Brook Nunn, Martin Pabst, Samantha Peters, Andrew Rajczewski, Elden Rowland, Brian Searle, Tim Van Den Bossche, Gary Vora, Jacob Waldbauer, Haiyan Zheng, Zihao Zhao
Metaproteomics is an increasingly popular methodology that provides information regarding the metabolic functions of specific microbial taxa and has potential for contributing to ocean ecology and biogeochemical studies. A blinded multi-laboratory

Traceable Comparisons of Water-Triple-Point Cells

November 8, 2024
Author(s)
Weston L. Tew
A specific sub-set of comparison data is presented for two NIST water-triple-point cells that provide traceability to the results of the 2023 Consultative Committee for Thermometry CCT-K7.2021 CIPM Key Comparison of Water-Triple-Point Cells. NIST had

Verifying Executability of SysML Behavior Models Using Alloy Analyzer

November 8, 2024
Author(s)
Jeremy Doerr, Conrad Bock, Raphael Barbau
This report presents an approach to verifying executability of system behavior models by treating them as logical constraint problems solved using Alloy Analyzer, a non-proprietary software tool supporting a textual language for logical constraints and

Wavemeter calibration by frequency comb

November 7, 2024
Author(s)
Patrick Egan
Upgrades to the vacuum-wavelength calibration service at NIST are reported. The instrumentation centerpiece is an optical frequency comb tied to a GPS-disciplined oscillator, thereby providing direct traceability to the SI second. Historically, the service

Kinetic inductance current sensor for visible to near-infrared wavelength transition-edge sensor readout

November 6, 2024
Author(s)
Paul Szypryt, Douglas Bennett, Ian Fogarty Florang, Joseph Fowler, Jiansong Gao, Andrea Giachero, Ruslan Hummatov, Adriana Lita, John Mates, Sae Woo Nam, Daniel Swetz, Joel Ullom, Michael Vissers, Jordan Wheeler
Single-photon detectors based on the superconducting transition-edge sensor are used in a number of visible to near-infrared applications, particularly for photon-number-resolving measurements in quantum information science. To be practical for large-scale

POTENT: Post-Synthesis Obfuscation for Secure Network-on-Chip Architectures

November 5, 2024
Author(s)
Kostas Amberiadis, Dipal Halder, Sandip Ray, Yuntao Liu, Ankur Srivastava
We develop a novel post-synthesis obfuscation technique, POTENT, to protect NoC fabrics against reverse engineering attacks. POTENT integrates programmable switches at NoC routers, concealing topology and communication paths under a dynamically controlled

Workshop Report on Autonomous Methodologies for Accelerating X-ray Measurements

November 5, 2024
Author(s)
Zachary Trautt, Austin McDannald, Brian DeCost, Howard Joress, A. Gilad Kusne, Francesca Tavazza, Tom Blanton
The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and prioritize the goals, challenges, and opportunities for critical and emerging technology needs

Accuracy and Reproducibility of Bullet Comparison Decisions by Forensic Examiners

November 4, 2024
Author(s)
R. Austin Hicklin, Connie Parks, Kensley Dunagan, Brandi Emerick, Nicole Richetelli, William Chapman, Melissa Taylor, Robert Thompson
Few studies have been conducted assessing the accuracy and reproducibility of bullet comparison decisions by firearms examiners, and no previous studies have evaluated accuracy of examiners' decisions when comparing 1) damaged bullets, 2) comparisons of

Broadband Characterization of Flexible Conductor-Dielectric Composites

November 4, 2024
Author(s)
Luckshitha Suriyasena Liyanage, Nathan Orloff, Nicholas Jungwirth, Sarah Evans, Christian Long, Angela Stelson, Jacob Pawlik, James Booth
Broadband measurements are important for characterizing a wide range of materials for communications applications at microwave and mm-wave frequencies. Here we report on broadband measurements of the effective permittivity of conductor-dielectric flexible

Prediction of Magnetic Properties in van der Waals Magnets using Graph Neural Networks

November 4, 2024
Author(s)
Kamal Choudhary, Peter Minch, Trevor David Rhone, Romakanta Bhattarai
We study two-dimensional (2D) magnetic materials using state-of-the-art machine learning models that use a graph-theory framework. We find that representing materials as graphs allows us to better learn structure-property relationships by leveraging both

Cybersecurity Supply Chain Risk Management Practices for Systems and Organizations

November 1, 2024
Author(s)
Jon Boyens, Angela Smith, Nadya Bartol, Kris Winkler, Alex Holbrook, Matthew Fallon
Organizations are concerned about the risks associated with products and services that may potentially contain malicious functionality, are counterfeit, or are vulnerable due to poor manufacturing and development practices within the supply chain. These

Electrical Switching the Perpendicular Neel Order in a Collinear Antiferromagnet

November 1, 2024
Author(s)
Wenqing He, Tianyi Zhang, Yongjian Zhou, Caihua Wan, Hao Wu, Baoshan Cui, Jihao Xia, Ran Zhang, Tengyu Guo, Peng Chen, Mingkun Zhao, Leina Jiang, Alexander Grutter, Purnima P. Balakrishnan, Andrew Caruana, Christy Kinane, Sean Langridge, Guoqiang Yu, Cheng Song, Xiufeng Han
Spintronics is based on the electrical manipulation of magnetic order through current-induced spin torques. In collinear antiferromagnets with perpendicular magnetic anisotropy, binary states can be directly encoded in their opposite Néel order. The

Progress in development of characterization capabilities to evaluate candidate materials for direct air capture applications

November 1, 2024
Author(s)
Marcus Carter, Huong Giang Nguyen, Andrew Allen, Feng Yi, Wei-Chang Yang, Avery Baumann, William S. McGivern, Jeffrey A. Manion, Ivan Kuzmenko, Zois Tsinas, Charlotte Wentz, Malia Wenny, Daniel Siderius, Roger van Zee, Christopher Stafford, Craig Brown
As part of U.S. national efforts to combat the detrimental effect of global climate change, the National Institute of Standards and Technology (NIST) was recently tasked to support efforts in direct air capture (DAC) of carbon dioxide research and

Two-fluid model for nonlinear flow of wormlike micelle solutions. I: Model

November 1, 2024
Author(s)
Paul Salipante, Michael Cromer, Steven D. Hudson
We develop a rheological model to approximate the nonlinear rheology of wormlike micelles using two constitutive models to represent a structural transition at high shear rates. The model is intended to describe the behavior of semidilute wormlike micellar
Displaying 826 - 850 of 73697
Was this page helpful?