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approach to community resilience for buildings and infrastructure systems that includes (1) identifying performance and recovery goals based on their role in the community and the social and economic
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of aqueous chemical models, incorporated into computer codes, for both pure and applied research that include industrial chemistry, chemical engineering, water treatment, hydrometallurgy, toxicology, medical
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microfluidic networks.Our goal is to develop systems that enable accurate, high-throughput, and dynamic measurement of materials in flow, which will, for example, improve the ability to specify composition and
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to reliable manufacturing of the next generation computing devices. Computational imaging methods such as coherent diffractive imaging, Fourier ptychography, structured illumination techniques, and other super
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of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic
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; Early detection; Gene expression; High throughput sequencing; micro RNA; Microfluidics; Molecular biology; Multiplexed bioassays; Next generation sequencing; Single-cell assays; Eligibility citizenship
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length scales allowing for the two classes of systems to work together in new and interesting ways. We are interested in using the unique physics of fluid flow, mass transfer, heat transfer, and reaction
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loading behavior. The Kolsky Bar, also known as the Split Hopkinson Bar, is a common technique for studying the high strain rate behavior of materials. Novel improvements to this technique include the use
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RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational
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NIST only participates in the February and August reviews. This suite of projects seeks to advance the microbial metabolomics infrastructure through the development of new analytical methods, including data analysis and novel statistical approaches. We are particularly interested in...