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methods which are critical to ensuring structural performance. For more information please visit our website at http://www.nist.gov/mml/infr.cfm/ . Materials; Alternative energy; Fracture; Mechanics
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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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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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. This computational approach, incorporating quantum mechanics, can help materials research by a) directly simulating and interpreting experiments, b) establishing relationships between material structure and properties
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of interest. Despite the availability of techniques for probing the local structure, finding a comprehensive structural solution that captures atomic arrangements across several length scales remains
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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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its microscopic geometry, incorporating a wide variety of physical phenomena and using a modular structure that allows new physics to be added easily. More information is available at http
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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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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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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