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synthesis and the development of complex fluids is important to a number of industrial applications. Many diagnostic assays use the temperature dependence of different analytes as a diagnostic tool. For
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
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at few hPa. We are developing an alternative truly atmospheric pressure approach that can be applied to a broad class of samples and be implemented in conventional laboratory-based instruments, as
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the world. With this production system, we are looking to augment our ability to rapidly answer science questions using the aggregated data volume. Additionally, we seek to develop and deploy new autonomous
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the viability of Rydberg atoms to realize the Kelvin in this way requires measuring blackbody-induced transitions through either selective field ionization or fluorescence detection. It also requires developing a
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microbial cultures by traditional and emerging analytical and genomic techniques; and understanding the mechanisms and impacts of microbial evolution and horizontal gene transfer, particularly within