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Description We work with scientists in other NIST laboratories to develop tools for computer simulation and analysis of magnetic systems at the nanometer scale. Model verification is achieved by comparison
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or poor state-of-knowledge surrounding nuclear input data. Large uncertainties on half-lives limit the precision of geological and astrophysical clocks. Imprecise or inaccurate beta spectrum shapefactors
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clocks used in the past, creating “gappy” data which often strain, or outright violate, the assumptions underlying the statistical models currently used. This project centers around investigating and
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301.975.4579 Description As the demand for high resolution, high content imaging increases, the cost and challenges of acquiring, storing, processing, and analyzing today’s very large imaging data sets are even
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supports US Semiconductor Manufacturing in overcoming various qualitative and quantitative measurement challenges especially over large areas, as is needed for effective manufacturing process control
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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of hydrogen-safe infrastructure. As with most environmental degradation problems, industry-specific testing has been prioritized, leading to phenomenological standards that are adjusted as new data or new
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applied to large biopharmaceutical products or platforms, and change the way scientists fundamentally deal with these types of data and biological systems. key words biotechnology; drug products; neutron
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differentiation, data describing the changes in gene expression at the single cell level are needed. In this project, quantitative live cell imaging and image analysis will be used to follow gene expression
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cycle mass spectrometers have made this analysis possible, there are still looming problems related to the inherently large search space and to comparing results temporally or between laboratories