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NIST researchers developed an artificial intelligence protocol that can configure a test chamber to replicate the spatial characteristics of measured mmWave
More than 150 years ago, the Sun blasted Earth with a massive cloud of hot charged particles. This plasma blob generated a magnetic storm on Earth that caused
The Autonomous Formulation Laboratory is a joint program between the nMat consortium, NCNR, and NIST's Material Measurement Lab focused on accelerating materials discovery and formulation optimization through artificial intelligence (AI) and machine learning (ML) directed, multimodal scattering
Corrosion impacts a broad spectrum of application areas including infrastructure, transportation, and the military. The annual price tag for corrosion mitigation and remediation is 3.4 % of the US GDP. The team is particularly interested in discovering new metallic glasses (metals without long range
Objective
To develop, utilize, and analyze methods of characterizing the precursor materials in additive manufacturing in both virgin and recycled states with the goal of advancing measurement science to benefit the AM community. The components of principal interest will include the rheological
We are in the process of developing a standalone help for practitioners in an easy-to-use application with a well-designed graphical user interface that will: Generating all possible mixture genotype combinations from their provided ground truth single-source profiles and selected NoCs Computing
Juan Fung, Michael Hall, Jennifer Helgeson, Alden Dima, Anne Andrews, Jennifer Benkstein
This report presents the design and methodology of a survey conducted to evaluate the impact of changes to the organizational publication review policy at the
Kaixin Huang, Demitry Farfurnik, Alireza Seif, Mohammad Hafezi, Yi-Kai Liu
Qubit noise spectroscopy is an important tool for the experimental investigation of open quantum systems. However, conventional techniques for implementing
Paul Patrone, Lili Wang, Sheng Lin-Gibson, Anthony Kearsley
Harmonizing serology measurements (i.e., rendering them interchangeable) is critical for comparing results across different diagnostics platforms, developing
Juan Fung, Zongxia Li, Daniel Stephens, Andrew Mao, Pranav Goel, Emily Walpole, Alden A. Dima, Jordan Boyd-Graber
In this report, we address the following question: to what extent can machine learning assist a human with traditional text analysis, such as content analysis
The Large Aperture Scanner (LAS) scans a radar transceiver over a 5 meter by 20 meter aperture. Image reconstruction techniques enable a three-dimensional