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methods such as formal grammars, logic-based semantic representations, and knowledge graphs to improve the representation of knowledge, the evaluation of AI systems, and classification of documents and
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ability to accurately predict increasingly complex burning scenarios (e.g., varied sample/product configuration and scale). Further details of the project are available online: https://www.nist.gov/programs
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and LC-MS/MS, GC-MS) and a state-of-the art aquaculture research center at IMET. Potential research areas of interest include the development of sensitive and selective methods for determining organic
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that integrate structural predictions and neutron scattering data using ensembles instead of current single structure implementations. The integration of simulation and experiment will yield methods that can be
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parallel algorithms, execution of algorithms in the computer cloud, to delivering on-demand measurements over the Web. key words Image processing; Machine learning, Computer vision; Statistical methods
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for semiconductor manufacturing. For example, new methods may be developed for wafer inspection and control-process-quality relationships, among many other possible topics. Our facilities support experimental work
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augmented intelligent solutions for smart machine tools. For example, new methods may be developed for the monitoring of rotary or linear axes, ball screw preload and backlash, spindle performance, real-time
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@nist.gov 301 975 2093 Description This opportunity focuses on the development of analytical methods and/or data processing techniques that could be used to advance drug detection and identification (or drug
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measurement methods for quantifying nanoscale transport, doping, crystallographic, piezoelectric, and optoelectronic phenomena. Current device interests include nanowire lasers, microLEDs, photodetectors
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called the Fire Dynamics Simulator (FDS) . FDS is a block structured Cartesian LES code for low-speed flow which uses a high-order cutcell-immersed boundary method for complex geometry and is specifically