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weathering: Cross-sectional Raman imaging”. Solar Energy Materials & Solar Cells 144: 289-299, 2016 Polymers; Atomic force microscopy; Scanning electron microscopy: Raman microscope; Infrared microscope
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301.975.3507 Description Recent developments in Artificial Intelligence (AI) have allowed machine learning models to solve certain complex problems in natural language processing and other areas at large scales
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sample preparation equipment (including cross-sections) and also an ability to fabricate prototype devices using electron lithography. The current topics of interest include the process development and
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are often destructive, insufficient in resolution and sensitivity, and are subject to bias inherent in the measurement process. New methods for quantitative, in situ characterization are essential for gaining
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temperature and velocity data to provide a complete picture of the physics and chemical structure of the environment within the fire enclosure. Measurements will be completed for a variety of fuel types and
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on characterizing such novel magnetic behavior and understanding the origin of the new phenomena, so that the relationship between structure, processing, and properties can be established. Such a relationship is
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NIST only participates in the February and August reviews. The Alternative Computing Group at NIST has an ongoing program developing new metrologies to support emerging information processing
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of measurements and simulations is increasingly used to improve the understanding of mechanical testing results and provides a means to advance the mechanical testing paradigm toward fewer, more complex tests that
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301.975.3792 Description Post-doctoral positions are available to advance materials, methods, and instrumentation for electron paramagnetic resonance (EPR) spectroscopy measurements of nanomaterials and
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opportunities are available in developing integrated nanophotonic architectures and devices for realizing compact, efficient, accurate and dynamic quantum AMO systems-on-a-chip. By creating a set of scalable