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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical
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Optimization Model for Community Resilience Planning.” Socio-Economic Planning Sciences 92 (April 2024): 101835. https://doi.org/10.1016/j.seps.2024.101835 . 5. Meyer, Michelle, Leonardo Duenas-Osorio, Maria
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Laboratory. doi: https://doi.org/10.6028/NIST.TN.2178 . building control; intelligent agents; optimization; data analytics; machine learning; data-driven models; HVAC
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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be generating terabytes of image data per day, there are several open research problems that would become the research focus of a postdoctoral candidate. The problems include (a) finding optimal
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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties
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are designed, constructed and operated to provide optimal spaces for living and working. The industry needs tools, metrics, and processes to create buildings that are more than just static structures but living
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quantum methods to improve sensitivity of DCS References: https://www.nist.gov/programs-projects/greenhouse-gas-and-atmospheric-trace-gas-measurements Cossel, K. C., Waxman, E. M., Giorgetta, F. R., Cermak
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; signal averaging can be used to optimize signal-to-noise ratios; a wide range of molecular masses is accessible; and the sample can be gas, liquid, or solid. Despite these advantages, the use of NMR