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The objective of this project is to collect the data required for DISA DSO to ascertain the effectiveness of the sharing ecosystem between CBRS systems as
Cell viability is often measured as a quality metric of tissue engineered medical products. However, there are a number of inherent assumptions about cell
Photographs, or optical light images, are spatial records of light reflected or emitted from objects. Thus, they are prospective light measurements. In many
NIST cooperates with the three services (Air Force, Navy, and Army) to realize a uniform night vision goggle (NVG) calibration system with low measurement
Radiometric, radiance temperature, photometric, and color scales have been realized based on the spectral responsivity of standard detectors and radiometers
Overview Capture of carbon dioxide from the air (direct air capture; DAC) combined with energy efficiency and carbon capture, utilization and storage (CCUS)
NIST’s Material Measurement Laboratory and Communications Technology Laboratory are developing a new spectroscopy for intermolecular interactions. The team is
With the advent of vSANS, CANDOR, and MACS, which provide accelerated data rates, and the deployment of the new, more flexible, data acquisition system at NIST
The Community Resilience Program is developing resilience metrics and integrated models of physical, social, and economic systems at the community scale. These
The Extended Digital Thread (EDT) project will deliver standards, methods, protocols and tools to enable interoperability of significantly more product and
The Knowledge Extraction and Application for Smart Manufacturing Operations Management (KEA4SMOM) project will contribute to standards and test methods that
The integration of Machine Learning (ML) in network modeling and simulations is key to evaluating ML-based solutions and algorithms used to configure and
Communities facing natural hazard risks are often concerned with other risks as well, including sea-level rise, resource depletion, and pandemics. Thus
A new collaboration between NIST's Human Genomics Team, Mass Spectrometry Data Center, and Information Technology Laboratory to use and develop artificial
There is always a degree of uncertainty surrounding measurements of polymeric materials, especially complex mixtures of with varying distributions in chemistry
The goal of this project is to utilize NIST expertise in privacy, cybersecurity, machine learning, wireless technology, ranging, modeling, and hardware and
Resonant soft X-ray scattering (RSoXS) is an emerging characterization technique that derives contrast from features in soft X-ray spectroscopy. RSoXS is a
The development of new platforms for characterization of complex microbial samples are hampered by lack of reproducibility and comparability across different
In the past decade, research data have become widely recognized as a critical national and global resource, and the risks of losing or mismanaging research data
JARVIS-ML is a repository of machine learning (ML) model parameters, descriptors, and ML related input and target data. JARVIS-ML is a part of the NIST-JARVIS
A collaborative team working to establish the science and technology of networks for superconducting quantum computers by demonstrating the world’s first
The development of new materials for diverse applications relating to the development of new energy sources, more efficient homes, autos, and aircraft, and the