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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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shocks and stressors). This research effort relies extensively on modeling and optimization, with consideration for field data collection, and statistical and geospatial data analysis. Informed by
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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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research seeks to address these challenges through an integrated approach combining high-speed X-ray diffraction (XRD) and other synchrotron-based scattering experiments and advanced data analysis. Central
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important that microbiome 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
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and fractional quantum anomalous Hall states, superconductivity, and correlated insulators—that hold promise as the foundation for next-generation electrical standards and quantum information
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over time. Stem cell populations can be highly heterogeneous and can exhibit complex responses. Using quantitative imaging data on large numbers of live cells over time, we can construct potential
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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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of hydrogen-safe infrastructure. As with most environmental degradation problems, industry-specific testing has been prioritized, leading to phenomenological standards that are adjusted as new data or new
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are manufactured on one production line, the control-process-quality relationships are not fully understood based on quantitative data analysis. Understanding the control-process-quality relationships will enable