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challenging. We seek to address this measurement problem by developing a coherent strategy for integrating inputs from several critical experimental techniques to perform fully atomistic structural refinements
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wavelength- and energy-dispersive X-ray methods to improve on current transition energy databases performing measurements with unparalleled precision. We use a custom, in-house constructed, high-resolution
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, internal dynamics, materials physics and chemistry is of primary importance in determining the processing, performance and viability of advanced ceramic components such as relevant to solid oxide or hydrogen
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; Autonomous; Machine learning; Informatics; High-throughput; Data mining; Functional materials; Active Learning
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301.975.4579 Description As the demand for high resolution, high content imaging increases, the cost and challenges of acquiring, storing, processing, and analyzing today’s very large imaging data sets are even
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NIST only participates in the February and August reviews. The roll out of high-speed, low-latency communications networks is expected to drive economic growth through automation while creating new
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of LC-MS patterns of biological fluids. Previous knowledge and experience of a high-level programming language--preferably C++, Python, or Java and of pattern recognition techniques--to draw statistically
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sophisticated potential energy functions and adequate sampling to reveal the associated, intricate molecular details. In addition to being centrally important, high-quality experimental data (free energy
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Measurement Science to Advance Understanding of Chemical Equilibria in Natural Waters NIST only participates in the February and August reviews. NIST has a long-standing program in electroanalytical
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attracted considerable attention for potential application in nanoscale devices, including beyond-CMOS electronics, quantum computers, chemical sensors, photodetectors, etc. Prospective advantages over