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Search Publications

NIST Authors in Bold

Displaying 26 - 50 of 74237

Foundational Cybersecurity Activities for IoT Product Manufacturers

April 20, 2026
Author(s)
Michael Fagan, Katerina Megas, Barbara Cuthill, Jeffrey Marron, Brad Hoehn
Internet of Things (IoT) products often lack product cybersecurity capabilities their customers—organizations and individuals—can use to help mitigate their cybersecurity risks. Manufacturers can help their customers by improving the securability of their

GROQ-seq Datasets Across Transcription Factors (LacI, RamR, VanR), T7 RNA Polymerase and TEV Protease

April 19, 2026
Author(s)
Aviv Spinner, Shwetha Sreenivasan, James McLellan, Svetlana Ikonomova, Dana Cortade, Simon d'Oelsnitz, Kristen Sheldon, Olga Vasilyeva, Nina Alperovich, Anjali Chadha, Lily Nematollahi, Andi Dhroso, Zach Sisson, Corey Hudson, Erika DeBenedictis, Peter Kelly, Amanda Reider Apel, David Ross, Catherine Baranowski
Predicting any protein's function from its sequence alone would be a significant breakthrough in molecular biology. Although machine learning approaches have sought to tackle this, their limited generalizability reflects the absence of sufficiently large

Redetermination of the Gravitational Constant with the BIPM torsion balance at NIST

April 16, 2026
Author(s)
Stephan Schlamminger, Leon Chao, Vincent Lee, Craig Shakarji, David Newell, Julian Stirling, Robert Cochrane, Clive Speake
We report the first replication of a high-precision measurement of the gravitational constant, $G$. The experiment employed the torsion balance originally designed and constructed at the International Bureau of Weights and Measures (BIPM) approximately

The Integration of Focused Ultrasonication, ddPCR, and Flow Cytometry Effectively Estimates Genome Copies per Cell and Enhances DNA Extraction Efficiency in Escherichia coli Samples

April 16, 2026
Author(s)
Sandra Da Silva, Nancy Lin, Kirsten Parratt, Hariharan Iyer, Guilherme Pinheiro, Holly Hack, Ian Hines, Stephanie Servetas
Microbiology researchers rely on nucleic acid measurement techniques, such as the quantitative polymerase chain reaction (qPCR) and DNA sequencing, to address diverse scientific and practical challenges. These applications range from detecting microbial

Firmware-Based Monitoring for Bus-Based Computer Systems

April 15, 2026
Author(s)
Guru Prasadh Venkataramani, Sanjay Rekhi
This paper describes design mechanisms that reconfigure component firmware as a network of forensic units that passively observe bus traffic to extract and share forensic data beyond typical communication. By employing consensus-building algorithms among

Optical clock frequency ratios with uncertainty ? 3.2 * 10^-18

April 10, 2026
Author(s)
Alexander Aeppli, Willa Arthur-Dworschack, Kyle Beloy, Caitlin Berry, Tobias Bothwell, Angela Folz, Tara Fortier, Tanner Grogan, Youssef Hassan, Zoey Zimeng Hu, David Hume, Benjamin Hunt, Kyungtae Kim, Amanda Koepke, Dahyeon Lee, David Ray Leibrandt, Ben Lewis, Andrew Ludlow, Mason Marshall, Nicholas Nardelli, Harikesh Ranganath, Daniel Rodriguez Castillo, Jeffrey Sherman, Jacob Siegel, Suzanne Thornton, William Warfield, Jun Ye
We report high-precision frequency ratio measurements between optical atomic clocks based on 27Al+, 171Yb, and 87Sr. With total fractional uncertainties at or below 3.2 × 10−18, these measurements meet the milestone criteria for redefinition of the second

Wavefront mapping for absolute atom interferometry

April 10, 2026
Author(s)
Joseph Junca, John Kitching, William McGehee
Wavefront distortions are a leading source of systematic uncertainty in light-pulse atom interferometry, limiting absolute measurements of gravitational acceleration at the 30 nm/s2 level. Here, we demonstrate in situ spatially-resolved measurement of the

GROQ-seq Enables Cross-site Reproducibility for High-Throughput Measurement of Protein Function

April 9, 2026
Author(s)
Aviv Spinner, Amanda Reider Apel, David Ross, Svetlana Ikonomova, Dana Cortade, Catherine Baranowski, Andi Dhroso, Kristen Sheldon, Courtney Tretheway, Erika DeBenedictis, Corey Hudson
High-throughput functional assays are increasingly used to generate large-scale protein function datasets for protein engineering and machine learning applications. However, the utility of such datasets depends on the reproducibility of the underlying

Ion-Pair Speciation in Aqueous Alkali Fluorides from Nuclear Magnetic Resonance of 19 F

April 9, 2026
Author(s)
Malgorzata Musial, Samantha Miller, Christopher Suiter, Heidi Klem, Eugene Paulechka, Kathleen Schwarz, Jason Widegren, Demian Riccardi
We demonstrate that a combination of multiscale modeling and experimental 19F NMR can be used to examine the molecular details of how ion-pair speciation changes with temperature and molality. Excellent agreement with experimental 19F NMR chemical shifts

Impact of Deep-Level Traps on Carrier Mobility in b-Ga2O3 MOSFETs

April 7, 2026
Author(s)
Ory Maimon, Neil Moser, Pragya Shrestha, Minyeong Kim, Sang-Mo Koo, Kyle Liddy, Andrew Green, Kelson Chabak, Sujitra Pookpanratana, Qiliang Li
Ultra-wide bandgap β-Ga2O3-based power devices are promising and rapidly developing, but its mobility in field-effect transistors (FET) falls short of the theoretical value. An electro-optical measurement technique is used to study ionized impurity

Characterization of Electronic Stress-Induced Changes in Multi-Layer MoS2

April 6, 2026
Author(s)
R. Colby Evans, Riccardo Torsi, Pavel Kabos, Jason Holm, Jason Killgore, Paul Owiredu, Gurpreet Singh, Jerzy Sadowski, Angela Hight Walker, Elisabeth Mansfield
Transition metal dichalcogenides like molybdenum disulfide (MoS2) are compelling for next-generation electronic devices. In this work, we investigate the impact of electronic stress on MoS2 to illustrate that observational and phenomenological information

Ultra-High Speed Printing Regime in Laser Powder Bed Fusion of Highly Reflective Metals

April 5, 2026
Author(s)
Natalya Kublik, Laura Duenas Gonzalez, David Deisenroth, zhengtao gan, Bruno Azeredo
Additive manufacturing of highly reflective metals, such as copper and aluminum, often entail excessive energy losses, especially in laser powder bed fusion (LPBF). To compensate for reflected losses, high powered lasers and low scan speeds (i.e., ≤ 0.8 m

Formulating, Fitting and Fusing Fragility Functions (F5)

April 2, 2026
Author(s)
Mohammadamin Hariri Ardebili, Siamak Sattar
Fragility functions derived from nonlinear dynamic analysis are a central ingredient in seismic performance assessment and risk analysis of structural systems. This technical report revisits fragility functions from a unified perspective that addresses

Improved Uniformity in Glass TSV Filling by Asymmetric Dwell Pulsed Potential Deposition

April 1, 2026
Author(s)
Eunsoo Shim, Youjung Kim, Ji Young Park, Mathew Weimer, Sara Harris, David Raciti, Bongyoung Yoo, Jae-Hong Lim, Yong-Ho Chao, Thomas Moffat, Daniel Josell
Filling of through vias in glass interposers is explored using an acid copper sulfate electrolyte containing dilute chloride and a polyether suppressor additive. Cyclic voltammetry with a rotating disk electrode shows that suppression breakdown and

Burning Rates of Individual Firebrands on Shredded Paper Beds

March 31, 2026
Author(s)
Savannah Wessies, Jiann Yang
Every year, homes and buildings are destroyed by wildland fires. In most situations, the structures are ignited by firebrands landing on a combustible surface within or in the direct vicinity of the structure. The mass burning rate, which is directly

Standardized Approach for Assessing Wireless IoT Devices in Millimeter-Wave Industrial Work-Cell Channels

March 31, 2026
Author(s)
Mohamed Hany, Kate Remley, Paritosh Manurkar, Joshua Kast, Iyemeh Uchendu, Robert Horansky, Dylan Williams, Matthew Simons, Michael Frey, Lucas Koepke, Richard Candell
We present a standardized, repeatable test approach that replicates key features of measured industrial environments in a fully characterized hybrid test chamber. The hybrid chamber consists of an anechoic chamber along with movable metallic spheres that

Toward a Standardized Manufacturing Operation Management Ontology (MOMO): Findings from the NIST Workshop

March 30, 2026
Author(s)
Arkopaul Sarkar, Boonserm Kulvatunyou, Evan Wallace, Milos Drobnjakovic, Gabriela Henning, Ana Nikolov, Saruda Seeharit, Dusan Sormaz, Adlene Rebai, Yan Lu
The Manufacturing Operations Management Ontology (MOMO) aims to standardize operational management terminology across discrete, batch, and continuous manufacturing processes. Seeing similar ontologies being developed by the pharmaceutical (small molecule)
Displaying 26 - 50 of 74237
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