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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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techniques to study hydrogen locations and dynamics in materials necessary for advancing the Hydrogen Economy. Detailed information on hydrogen locations and binding potentials in a lattice is extracted as a
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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
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algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
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to effectively convert interactions occurring at gas-solid or liquid-solid interfaces, or between molecules, into measurable signals that provide information on the nature and concentration of chemical and
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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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XRD measurements mostly at NIST’s Beamline for Materials Measurements, collaborating with scientists from NIST Gaithersburg, and developing work-flow and data-analysis tools for managing and
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materials necessary for advancing the carbon capture technology. Detailed structural information will be extracted. This information provides insight into the chemistry and physics of CO2 adsorption
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include the development of novel polymeric mechanical testing devices, novel adhesion blister testing devices, development of high-throughput screening devices, informatics, and data base development. key