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correlations and prediction methods. The program will build on our existing efforts using Quantitative Structure-Property Relationship (QSPR) methodologies and modern machine learning methods (support vector
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to develop tools to enable more routine high level production of labeled proteins using these different expression platforms. key words Protein labeling; Protein expression; Stable isotopes; Eligibility
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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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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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single gold atomic bond. A high resolution force sensor is being developed that can mount as a sample in the UHV environment to serve as a calibration reference for the experiment. Along with atomic bond
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, to perform X-ray absorption near edge spectrometry (XANES) and extended X-ray absorption fine structure (EXAFS) experiments. key words Nanofabrication; Nanomaterials; Interfaces; Electronic Materials; Energy
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Description The purpose of this research is to investigate the role of interfaces and interphases on the properties and performance (durability and appearance) of polymeric systems. This research area includes
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measurement platforms using present and next generation electron microscopes. If you are a creative individual and can imagine what “can be” given the data richness of our program, we invite you to apply and
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Foundations for System Interoperability Location Information Technology Laboratory, Software and Systems Division opportunity location 50.77.51.B7916 Gaithersburg, MD NIST only participates in the February...