221 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at NIST
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the rigorous data quality metrics for accurate diagnostics, prognostics, medical biomarkers, and for untangling the mechanisms of disease. The development and delivery of solution-enabling metrology tools
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thermophysical property data for the process gases. Our group maintains a wide variety of experimental apparatus for state-of-the-art property measurements. These include a two-sinker densimeter for reference
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metabolomics. Our studies focus on developing new mass spectral data analysis algorithms (e.g., clustering) to better solve the common key persistent problems arising from factors such as mass shift and peak
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property data are available for only a few dozen fluids. A better understanding of fundamental fluid behavior would allow the accurate prediction of properties for those fluids lacking good data and thus
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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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and novel data-processing tools need to be developed to embrace these new techniques and further elevate their capabilities. Instrumentation available for this research includes ion trap, Orbitrap, and
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, or techniques that will speed up analysis times, provide increased information to the chemist, and/or simplify data interpretation while enhancing data quality. One of the goals of the forensic program at NIST is
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are particularly interested in developing and characterizing hybrid quantum systems (interfaces between dissimilar physical media), suitable for quantum information purposes, and exotic sources of faint light
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considerable amount of data of the standard biological fluids on different LC-MS platforms and in-house software has been developed for chromatography alignment, spectral similarity, peak deconvolution, and
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pushed the limits of mass detection to spectral resolutions over 100,000, allowing for specific mass determination and unknown compound identification. Analytical methods and novel data-processing tools