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of mixed-gas adsorption, and the measurement of related physicochemical properties of porous materials. The FACT Lab seeks to improve the adsorption sciences by providing reference data using reference
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development, microfabricated device design and development, measurement of samples with ultrahigh throughput sequencing and microarrays, and bioinformatic/biostatistical data analysis of the large data sets
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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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the continuing increase in speed and capability of commodity graphics processors, immersive visualization offers increasing opportunities to express scientifically meaningful results. Data at NIST spans a wide
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301.975.4579 Description As the demand for high resolution, high content imaging increases, the cost and challenges of acquiring, storing, processing, and analyzing today’s very large imaging data sets are even
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strain rates and temperatures. Identifying material properties and constitutive model parameters from the integrated data sets currently focuses on the finite element model updating (FEMU) method, but
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demonstrating the capabilities and utility of transcriptomic and proteomic techniques in diverse species, making data available and creating programmatic tools for comparing between species. Additionally
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. To embrace these changes, this project will develop a shared calibration service, where NIST and the customer share broadband integrated-circuit calibration artifacts, protocols, software, and data through
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are developing microfluidics to measure material properties and structure. Protein, polymer and surfactant solutions and suspensions and emulsions are being characterized using computer-controlled microfluidic
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, provide findable, accessible, interoperable and reuseable (FAIR) data sets, seek to improve sortation technology for homogeneous recycling feedstocks and work to advance the US circular economy. key words