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NIST only participates in the February and August reviews. Community Resilience Metrics The Community Resilience Program (https://www.nist.gov/community-resilience) is developing science-based
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driven flows; Combustion; Computational fluid dynamics; Fire modeling; Heat transfer; Large eddy simulation; Numerical combustion; Thermal radiation; Turbulent flows; Eligibility citizenship Open to U.S
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RAP opportunity at National Institute of Standards and Technology NIST Immersive Visualization Location Information Technology Laboratory, Applied and Computational Mathematics Division
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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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301.975.6662 Description An experimental and modeling program is underway to further the understanding of dynamic processes that occur in fires and to reduce the impact of fire on people, property, and the
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Computational Methods for NMR Structural Biology and Biomanufacturing of Protein and Live Cell Therapeutics NIST only participates in the February and August reviews. Protein therapeutics
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, constraint programming, Bayesian methods, sparse kernel machines, graphical models, and deep learning. Some examples of materials classes of interest for this project are photovoltaic, thermoelectric
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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
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vibrations. A companion molecular modeling effort is absolutely critical due to the complexity and nascency of this spectroscopic region, and is implemented with the aid of a 6-node UNIX cluster and
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chemicals. While neutron and X-ray scattering methods are workhorse techniques for characterizing model formulations, the large number of components in many real products makes mapping the high-dimensional