173 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Exeter" positions at NIST
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property data primarily intended for model development that investigate how the molecular size, molecular structure, and polarity of fuel constituents impacts their thermophysical properties. Measurements
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-eddy simulation and direct numerical simulation of the phenomena. Topics of interest include algorithm development numerical combustion, scientific visualization, and data analysis. key words Buoyancy
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DeCost brian.decost@nist.gov 301.975.5160 Description Trustability and physical interpretability are critical requirements for the development of robust and sustainable machine learning systems needed
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, oxidation, and mechanical wear of chain scission in fibers are required to support the development of predictive models. This project seeks to utilize and develop novel chemical and mechanical techniques
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. The NIST channel sounding measurement team specializes in the development and use of instrumentation in the 10s of GHz based on phased array antennas that is optimized to capture dynamically evolving
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modeling is the parametrization of the force field. There are a large number of force fields in existence and significant efforts are spent on their development and improvement. However, to-date, development
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Description We are using innovative processing to develop novel superconducting materials with enhanced properties for quantum circuit applications. Critical elements for development of these materials
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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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, 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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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