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performance modeling capabilities that simultaneously consider multiple performance aspects, robust IAQ and other performance metrics, and measurement methods, sensors, and data to evaluate and verify
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@boulder.nist.gov 303.497.3580 Description We develop and utilize state-of-the-art experimental and computational techniques to acquire, evaluate, and correlate thermodynamic data of standard reference
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testing novel sample geometries that otherwise could not be effectively analyzed. DIC data are combined with finite element modeling to analyze non-uniform stress and strain states within samples
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samples to simulate long-term, outdoor field conditions (2) outdoor weathering of samples in different locations across the US, (3) relating accelerated laboratory results with outdoor field data, (4
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statistics. Current projects have accumulated a considerable amount of data of the standard biological fluids on different LC-MS platforms and in-house software has been developed for chromatography alignment
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comparing results temporally or between laboratories. This project seeks to provide metaproteomic data related to standardized materials, benchmark bioinformatics workflows of standardized data, and
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Orloff [email protected] 303.497.4938 Description Demand for mobile data, the implementation of new wireless devices, and an explosion of mobile users has stressed our telecommunications infrastructure to
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delivery particles. - Optimization of imaging parameters and data acquisition protocols to enhance measurement accuracy and efficiency. - Integration of hardware components, such as lasers, detectors, and
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measurements and data be supported by solid metrology. NIST and partners are seeking to develop standards and new measurement science infrastructure to improve confidence in microbiome measurements
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dynamic activity of individual cells over time. We have shown that such data can provide information about fluctuations in promoter activity and can be used to predict rates of state change in cell