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such as PET-MR or MR-US have unique challenges when developing quantitative imaging protocols. In addition, the program has a focus on techniques that challenge the current methodology of MRI. Techniques
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NIST only participates in the February and August reviews. Research on photovoltaics focuses on the development of new and improved device characterization methods for various cell technologies and
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higher production rates of small to medium sized parts compared to powder bed fusion technologies. The goal of this research opportunity is to develop new methods for their integration into machine
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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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are not sufficiently accurate, or the methods are too expensive to accurately model sufficiently large systems. As a result, these computational problems are ideal for developing machine-learned potentials
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NIST only participates in the February and August reviews. Research focuses on the development and application of advanced multi-detector separation science techniques. Topics include characterizing
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conditions. For that purpose, Raman spectroscopy-enhanced indentation technique (RS-IT) is being developed at NIST which combined instrumented indentation with Raman spectroscopy to analyze in-situ
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NIST only participates in the February and August reviews. The research objective for Community Resilience is to develop science-based tools to assess resilience and support informed planning and
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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on gas storage and separation in these materials, but also help us to rationally develop the next generation of flexible materials. References H. Yang, et al. "Visualizing structural transformation and