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learning with machine-controlled measurement tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods
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Fundamental Studies of Transduction Phenomena for Microscale and Nanoscale Chemical/Biochemical Sensors NIST only participates in the February and August reviews. Sensors are typically designed
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to work on optimizing MPS designs (potentially with integrated, microfabricated sensors), developing new tissues-on-chips, developing MPS for new organ combinations, and testing drug candidates in
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, providing a direct measurement of an organism’s phenotype. At the Hollings Marine Laboratory (HML) in Charleston, SC, we employ metabolomics (and plan to incorporate lipidomics) as a useful technique to
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301.975.8087 Description One of the benefits of nanoimprint lithography (NIL) is that it can directly pattern functional materials, not just sacrificially resist formulations that are used to transfer
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seen an explosion in our understanding of the problem, almost all due to advances in characterization techniques and researchers’ innovation in combining techniques. The “million-dollar question
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@nist.gov 301.975.6256 Description Our project group is working to design and build a machine learning-driven autonomous system for genetic engineering of novel functionality into microbial systems
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prevent a true function-by-design approach to development and manufacturing. We are interested in using analytical theory, large-scale molecular dynamics (MD) simulations, and density functional theory (DFT
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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experimental conditions have been identified that allow for heuristic design of separations, the connections between the chemistry and structure of adsorbing molecules and the resulting interfacial layer and its