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NIST only participates in the February and August reviews. The Community Resilience Program (https://www.nist.gov/community-resilience ) is developing science-based tools to assess resilience and
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will be complemented by computer model simulations using available capabilities based on methods such as density functional theory (DFT). [3] [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R
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in biomanufacturing and personalized medicine. We are developing new electronics techniques that leverage the field effect, and optomechanical interferometric methods for the on-chip measurements
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the scope of measurement and methods for AI evaluations in application, including but not limited to the research areas enumerated here . For example, to develop and advance metrology and methodologies
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on developing methods, algorithms, data, and tools, to support autonomous experimentation as well as prediction of industry- and/or community-relevant material properties. key words Machine Learning; Artificial
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include 1) developing test methods to assess the occurence and abundance of reactive minerals, like pyrrhotite, found in aggregate and concrete; 2) identifying reactive mineral/aggregate/concrete reactions
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NIST only participates in the February and August reviews. Self-assembly methods have the potential to integrate heterogeneous nanoscale objects to create multifunctional systems, with applications
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measurement traceability to the SI (unit Bq) by expanding on traditional gas counting capabilities and developing new methods to meet outstanding challenges. In particular, we seek to develop absolute assay
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of multiscale methods to measure how the marcoscopic behavior of novel graphene devices arises from the microscopic distribution of nanoscale properties involves multiple NIST research efforts linking STM, STS
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using them to demonstrate new applications in quantum information science. We have used radio-frequency interferometry to achieve ultra-sensitive high-speed single-photon detection [Applied Physics