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distributions both inside and outside the nanotube surface, examination of the specific effects of chemical structure on the adsorption of molecules to the nanotube surface and its effect on solubility, and
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for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring of such processes be experimentally validated under highly controlled
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also have familiarity with X-ray Diffraction and Pair Distribution Function anaylisis, experience with data acquisition using the Bluesky experiment orchestration package, and knowledge of beamline
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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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-quantum cryptography; quantum random number generation (QRNG) and quantum key distribution (QKD); position-based cryptography; and cryptography based on near-term quantum computing devices. Research will be
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@nist.gov 301.975.2105 Description Quantum communication, the distribution of entangled particles (usually photons), offers a fundamentally new physical resource for technological experimentation and
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and distributed control intelligence that can be applied to solve these problems through the application of machine learning, intelligent optimization techniques, automated fault detections and
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, scattering, etc. Concurrently, computational modeling will be used to predict both structure-property relationships and degradation rates based on the number and distribution of the monomers with
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renewable energy sources. Modern integrated building automation and control systems create an environment rich with sensor data and distributed control intelligence that can be applied to solve these problems