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Displaying 1 - 25 of 74299

A spectroscopic dataset for known provenance and1 post-consumer textiles

May 22, 2026
Author(s)
Katarina Goodge, Alexander Landauer, Cecelia Vederman, Amanda Forster
Near infrared (NIR) spectroscopy is a rapid, non-invasive technique often used for chemical bond structure identification, making it a prime candidate for feedstock identification and validation for industrial processes involving polymers. It has rapidly

Fiscal Year 2025 Annual Report for NIST Cybersecurity and Privacy Program

May 21, 2026
Author(s)
Patrick O'Reilly, Kristina Rigopoulos
Throughout Fiscal Year 2025 (FY 2025) — from October 1, 2024, through September 30, 2025 — the NIST Information Technology Laboratory (ITL) Cybersecurity and Privacy Program successfully responded to numerous challenges and opportunities in security and

Gepta-EX: A multi-channel germanium detector for X-ray absorption fine structure

May 21, 2026
Author(s)
Bruce Ravel, Abdul Rumaiz, Francesca Capocasa, GIOVANNI PINAROLI, Thomas Krings, David Siddons
We report on the development, fabrication, and performance evaluation of Gepta-EX, a compact multi-channel high-purity germanium (HPGe) detector system designed for fluorescence-mode X-ray Absorption Spectroscopy (XAS) at high photon energies. Traditional

Bilateral Airspeed Comparison (2-20 m/s) Using Three Transfer Standards

May 20, 2026
Author(s)
Christopher Crowley, Iosif Shinder, Joey Boyd, Fabio Costa, Samuel Araujo
A bilateral comparison of airspeed standards between NIST and Inmetro was carried out over the range 2 m/s to 20 m/s using three transfer standards: a Pitot tube, a 3D ultrasonic anemometer, and a laser Doppler anemometer (LDA). The instruments were

Ultra-low-speed anemometer calibrations in a bench-top wind tunnel

May 20, 2026
Author(s)
Christopher Crowley, Jeyadave Kumar, Iosif Shinder
Accurate calibration of anemometers at ultra-low airspeeds (i.e. speeds below 1 m/s) is essential for applications such as indoor airflow measurement, cleanroom monitoring, and environmental sensing. To address this need, the National Institute of

Advancing Human-Centered Cybersecurity: Challenges and Pathways Forward

May 15, 2026
Author(s)
Anuradha Rangarajan, Julie Haney, Matthew Canham, Mike Elkins, Lisa Flynn, Matthew Gordin, Victoria Granova, Wenjing Huang, Jody Jacobs, Greg Moody, Michael Ross, Robert Thomson, Joe Uchill
We present the key themes from the workshop "ConnectCon: Minding the Gaps in Human-Centered Cybersecurity," which can inform efforts of researchers and practitioners toward a collective goal of improving cybersecurity outcomes for all.

Probabilistic Carbon Assessment of Post-Disaster Building Repairs using Pelicun-LCA

May 15, 2026
Author(s)
Yating Zhang, Arpit Nema, Dustin Cook, Juan Fung, Siamak Sattar
Pelicun is an open-source software package developed by the National Hazards Engineering Research Infrastructure's (NHERI) Computational Modeling and Simulation Center (SimCenter) to evaluate building damage and losses resulting from natural hazards. Based

Solidification

May 15, 2026
Author(s)
Dilip Banerjee, William Boettinger
Solidification is a well-known subject. Some of the common examples of solidification are the casting of metals in industrial practice, the formation of ice, and the freezing of solder in electrical circuits. Manufacturing of almost every man-made

Certification of Standard Reference Material 1474c, a Polyethylene Resin

May 14, 2026
Author(s)
Kalman Migler, Nathanael Heckert, Suzanne Thornton
The melt flow rate of Standard Reference Material (SRM) 1474c, a linear polyethylene (narrow MWD ethylene-hexene copolymer) resin, was determined to be 5.04 g/10 min at 190 °C under a load of 2.16 kg using the ASTM Method D 1238-23a. The average is a

Status Report on the Second Round of the Additional Digital Signature Schemes for the NIST Post-Quantum Cryptography Standardization Process

May 14, 2026
Author(s)
Dustin Moody, Gorjan Alagic, Maxime Bros, Pierre Ciadoux, Quynh Dang, Thinh Dang, John Kelsey, Jacob Lichtinger, Yi-Kai Liu, Carl Miller, Rene Peralta, Ray Perlner, Angela Robinson, Hamilton Silberg, Daniel Smith-Tone, Noah Waller
NIST is in the process of evaluating public-key digital signature algorithms for potential standardization to protect sensitive information into the foreseeable future, including after the advent of quantum computers. Any signature scheme that is

Atom Probe Tomography

May 13, 2026
Author(s)
Ann Debay, Baptiste Gault, Francois Vurpillot
Atom probe tomography (APT) has been rising in prominence since its inception. APT grew from field-ion microscopy, which was the first technique to allow for directly imaging individual atoms on a surface, as early as the 1950s. Today, APT provides

Beyond Sequence Similarity: The Case for Function-Based Screening of Nucleic Acid Synthesis

May 13, 2026
Author(s)
Gary Able, Tessa Alexanian, Jacob Beal, James Diggans, Kevin Flyangolts, Gene D. Godbold, Eric Horvitz, Bin Hu, Caitlin Jagla, Rassin Lababidi, Brittany Rife Magalis, Sebastian Rivera, Bruce Wittmann, Samuel Forry, David Ross, Sheng Lin-Gibson, Samuel Curtis
Synthetic nucleic acids are a key input to modern biotechnology, yet they represent dual-use materials that require robust screening to mitigate biosecurity risks. The prevailing screening paradigm identifies sequences of concern (SoCs) through sequence

Digital Volume Correlation Challenge 2.0: A Comprehensive Dataset for Digital Volume Correlation Benchmarking

May 13, 2026
Author(s)
Zixiang Tong, Yujie Zhang, Edward Ando, Bin Chen, Brendan Croom, John Dabiri, Christian Franck, Matthew Fu, Helena Jin, Orion Kafka, Sriram Kunnoth, Thao Nguyen, Jacob Notbohm, Mohak Patel, Mainak Sarkar, Angkur Shaikeea, Jing Zhang, Alexander Landauer, Jin Yang
Background: Digital Volume Correlation (DVC) is a powerful experimental technique for quantifying 3D full-field volumetric displacements and strains. In light of its increase adoption in metrological applications, there is a critical need for benchmark

Nondestructive characterization of laser-cooled atoms using machine learning

May 13, 2026
Author(s)
Ian Spielman, Justyna Zwolak, Michael Doris, Dario D'Amato, Guilherme de Sousa, Brady Egleston
We develop machine learning techniques for estimating physical properties of laser-cooled potassium-39 atoms in a magneto-optical trap using only the scattered light---i.e., fluorescence---that is intrinsic to the cooling process. In-situ snap-shot images
Displaying 1 - 25 of 74299
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