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aimed at reducing the fire hazard of and exposure of potentially harmful chemicals used in products and materials found in buidling contents and construction, fire fighter gear, and a wide variety of
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with 1000× increase in time resolution and 10× improvement in spatial resolution over prototypes. Such an instrument enables to measure the structure of heterogeneous systems including ageing concrete
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of Structured Reinforcement Learning for Supply Air Temperature Control’, presentation at 2022 ASHRAE Annual Conference, June 25-29, 2022, Toronto, ON. Pertzborn, A. J., Veronica, D.A. (2021) NIST Technical Note
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. Bandyopadhyay, B. Heer, Additive manufacturing of multi-material structures, Mater. Sci. Eng. R Reports. 129 (2018) 1–16. https://doi.org/10.1016/j.mser.2018.04.001. [2] J. Guo, R. Floyd, S. Lowum, J.-P
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testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in MOF synthesis and characterization. Special
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RAP opportunity at National Institute of Standards and Technology NIST Coupling electronic structure methods, artificial intelligence, and data-driven approaches for next-generation quantum
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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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for real-time measurements of structural, chemical, microstructural, and phase changes in the material. Another direction is to develop and perform such measurements to gain a comprehensive understanding of
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dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622) and monolayer graphene ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) as a
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energy scale for dynamic impact (Charpy) testing, which is critical to ensuring performance of structural steels. Please visit our websites at https://www.nist.gov/mml/acmd/fatigue-and-fracture-group and