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a premier tool for probing atomic dynamics, yet extracting physical insights from experimental data remains a significant computational challenge. Traditional methods—Empirical Force Fields and
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further enriches the available data from which material behavior can be extracted. Separate work is being done to develop robust algorithms to quantitatively compare the physical and simulated experimental
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RAP opportunity at National Institute of Standards and Technology NIST Integrated Microfluidics and Photonics for Chemical and Cellular Measurements Location Physical Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Femtosecond Time-resolved Optical Measurements in Condensed Matter Location Physical Measurement Laboratory, Nanoscale
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RAP opportunity at National Institute of Standards and Technology NIST DUV/EUV Nanoscopy for Characterization of Nanoscale Devices Location Physical Measurement Laboratory, Nanoscale Device
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on Antennas and Propagation, Volume 61(3): 1285, 2013 Gimbutas Z, Greengard L: Journal of Computational Physics 232: 22, 2013. doi:http://dx.doi.0rg10.1016/jjcp.2012.01.041, arXiv:1104.5293v1 key words
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changes from physical or chemical processing, the addition of other measurement modalities and/or using more sophisticated machine learning techniques. The proposal will emphasize the role of metrology
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causes of data variability to improve product quality and reproducibility [1]. Simulation Modeling: Developing theoretical and mathematical descriptions of physical phenomena, including both physics-based
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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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assessment; 2) method development to evaluate long term particulate and VOC emission during additive manufacturing process to support robust hazard assessment and development of safe methodology for the use