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infrastructure to its limits. Naturally, engineers have pushed existing devices and networks to ever-increasing frequencies in an effort to address this multifaceted problem by improving data rates and adding
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catalytic turnover. Integrative modeling and machine learning have the promise of establishing new tools for combining computational and experimental data from HDX-MS and NMR to explain the dynamics and
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NIST only participates in the February and August reviews. Additive manufacturing (AM) is a rapidly growing technology, but its commercial adaptation to ceramic-based materials lags behind
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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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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory, Sensor Science Division
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consolidation of precursor materials into metal 3D parts and structures, enabling complex geometry and material designs. Metal Binder Jetting Additive Manufacturing (BJAM) is a sintered-based technology with
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of aqueous chemical models, incorporated into computer codes, for both pure and applied research that include industrial chemistry, chemical engineering, water treatment, hydrometallurgy, toxicology, medical
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RAP opportunity at National Institute of Standards and Technology NIST Magnetic Resonance in Industrial Applications Location Physical Measurement Laboratory, Applied Physics Division
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, physical, optical, and thermal properties of WBG semiconductors, including diamond, make these materials among the most prospective for high-frequency power electronics, quantum computing, solar-blind
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RAP opportunity at National Institute of Standards and Technology NIST Fire Dynamics and Fire Protection Engineering Location Engineering Laboratory, Fire Research Division opportunity location