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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 opportunity location 50.68.51.C0577 Gaithersburg, MD NIST only participates in the February and August...
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simulation techniques. In addition, simulations and examination of the overall separation process may require computational studies across multiple length scales. key words Modeling; Nanotube; Molecular
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301.975.6662 Description An experimental and modeling program is underway to further the understanding of dynamic processes that occur in fires and to reduce the impact of fire on people, property, and the
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communities in US industry and defense and work closely with those stakeholders to develop useful and innovative instruments that will directly and fundamentally impact a variety of applications spaces. key
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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) and determining the duration of recovery for physical, social, and economic systems and their impact on the community. Expertise is desired in a number of disciplines, including engineering (civil
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RAP opportunity at National Institute of Standards and Technology NIST Nanophotonic Enabled Spatiotemporal Control of Light Location Physical Measurement Laboratory, Microsystems and Nanotechnology Division opportunity location 50.68.02.C0628 Gaithersburg, MD 20899 NIST only participates in...
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experiments and datasets for model validation of multi-phase computation fluid dynamics (CFD), discrete element method (DEM), or data-driven modelling. Measurement of defect types and populations using micro- x
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mechanical properties of degrading concrete due to aging and chemical attacks and reactions, (2) experimental and numerical studies on the rate of strength and stiffness loss of concrete members affected by
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and related simulation studies. Further, the RS-IT methodology has the potential of a broad impact across a wide range of industries including semiconductor, glass and pharmaceutical sectors. Raman