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are manufactured on one production line, the control-process-quality relationships are not fully understood based on quantitative data analysis. Understanding the control-process-quality relationships will enable
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of small volumes of liquid samples as a function of temperature, composition, and concentration. These measurements can yield information on the polarization dynamics of inorganic nanoparticles, organic
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in popularity of density functional theory (DFT) has created an opportunity for critical evaluation of the performance of DFT methods versus accurate quantum and experimental data. Quantities such as
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of data relevant to forensic science disciplines. A need exists to gain a deeper understanding of instrument responses (i.e. mass spectral or spectroscopic data) obtained from samples such as street drugs
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; and (2) experiments devoted to studies of quantum-state engineering and entanglement with application to quantum-information processing, quantum simulation, spectroscopy, and tests of quantum mechanics
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-computer interactions such as curation and information retrieval. key words Ontologies; Natural Language Processing; Machine Learning; Artificial Intelligence Eligibility citizenship Open to U.S. citizens
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are affected by defects, impurities, and other realistic deviations from ideality. Because this project will be conducted in close collaboration with experimentalists, direct comparison with measured data will
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Kumar Banerjee dilip.banerjee@nist.gov 301.975.3538 Description The use of lightweight materials in vehicles will significantly increase fuel efficiency and cut emissions, but the auto industry lacks data
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not be effectively analyzed. DIC data are combined with finite element modeling to analyze non-uniform stress and strain states within samples during dynamic loading, and in some cases to deduce
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RAP opportunity at National Institute of Standards and Technology NIST Cryptography Through the Lens of Quantum Information Science Location Information Technology Laboratory, Computer Security