113 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at NIST
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part of a research recommendation engine to guide researchers in the lab. The algorithms integrate machine learning, solid state physics, on-the-fly physical experiments, on-the-fly simulations
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applications in manufacturing, aerospace, defense, engines, energy production, and research. However, substantial challenges to implementing such sensors are associated with the temperature limits, thermally
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Advancing State-of-the-Art Material Phase and Crystallographic Texture Characterization NIST only participates in the February and August reviews. While phase structure and texture have been
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. Chemical engineers constantly need reliable property data for process design development and optimization. This information is predominantly coming from scientific publications. Thousands of papers
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transformations produced by metabolically active microbes. Microbial abundances and growth rates (fitness), determined using NGS, allow predictions of changes to community structure over time. While
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performance. References Dols WS, Emmerich SJ, Polidoro BJ: Using Coupled Energy, Airflow and IAQ Software (TRNSYS/CONTAM) to Evaluate Building Ventilation Strategies. Building Services Engineering Research and
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characterization techniques to determine processing-structure-property relations that occur during processing, including scanning and transmission electron microscopy, thermal analysis, and x-ray diffraction
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the structural changes of materials during indentation deformation. Recently, this methodology has been employed in in-situ studies on the phase transformation of crystalline and amorphous silicon thin films and
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manufacturing of metal components through laser powder bed fusion have been increasingly embraced across a variety of industries and applications. But, broader adoption of this manufacturing technology—especially
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constituent elements, such as H, C, and N (for a general overview see Hoogerheide, D. P., Forsyth, V. T. & Brown, K. A. 2020. Neutron scattering for structural biology. Phys Today73, 36–42). In combination with