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liquid chromatographies, organic-MS, and ion source development to pursue interdisciplinary projects in the areas outlined. Mass Spectrometry; Analytical Chemistry; Inorganic; Organic; Tracer; Particle
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crystallography and spectroscopy are fundamental and imperative in the investigation and development of condensed matter sciences. We will widely use these methods to study the crystal structures of novel materials
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aptamer conformation changes. Method development efforts should focus on the incorporation of a robust and optimized experimental design aimed at assessing the sources of variability, repeatability, and
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, plays an important role at NIST in the development and interpretation of new measurement techniques, as well as aiding the understanding of the behavior of new materials in existing measurements. In
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computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular structure determination by NMR, with
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NIST only participates in the February and August reviews. Research on photovoltaics focuses on the development of new and improved device characterization methods for various cell technologies and
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are seeking researchers to contribute to the development and application of advanced measurement and automation techniques for exploring processing-structure-property-performance (PSPP) relationships in
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data analysis techniques, instrument and sample environment development, and simulation methods to compare to experimental results. We are particularly interested in the development of two techniques
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prevent a true function-by-design approach to development and manufacturing. We are interested in using analytical theory, large-scale molecular dynamics (MD) simulations, and density functional theory (DFT
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of materials under operational conditions improves fundamental understanding and accelerates development of highly-reliable materials and devices. Applicants will work to develop relevant test approaches