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of the interaction of neutrons and their products with samples and detectors. A few examples of technologies being explored include lithium ion battery performance, oxidation growth, man-made diamonds, magnetic thin
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will be complemented by computer model simulations using available capabilities based on methods such as density functional theory (DFT). [3] [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R
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301.975.3438 Description NIST has developed an integrated measurement services program for forensic and cannabis (hemp and marijuana) laboratories to help ensure the quality of routine analysis of cannabis plant
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NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety...
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measurements during emergencies, such as those encountered in pre- or post-detonation scenarios. The nuclear forensics program at NIST focuses largely on analytical method development, new and improved
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to perceive latent correlations is critical to successfully integrating the vast amount of existing data, including biochemical pathways and enzymatic substrate specificities, in next-generation computational
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on the initial crystallographic texture and uniaxial stress-strain data, thereby predicting the evolution of the yield surface in multi-axial tensile space for a real specimen. Computed constitutive models will be
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, are attempting to expedite discovery by applying modern computational methods to identification and characterization of novel material systems. In this context, the NIST/TRC Group is building capabilities in
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Description Exploiting atom-based solid-state technology and nanotechnology for quantum technologies such as quantum computing, quantum simulators, quantum nano-optics, and nanoscale sensing requires
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301.975.8582 Michael Garth Huber michael.huber@nist.gov 301 975 5641 Description This program explores complementary aspects of atom and neutron interferometry with particular emphasis on their interplay with