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for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or simulation that combine the best aspects of physics
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NIST only participates in the February and August reviews. Knowledge of fluid thermophysical properties is vital for applications in industry, metrology, and environment. The tools of statistical mechanics (Monte Carlo or molecular dynamics simulation, calculation of virial coefficients from...
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determined by geometry, microstructure, chemistry, dimensional scale, proximity to other materials, and exposure to external stressors. Integration of powerful characterization techniques and reliability tests
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RAP opportunity at National Institute of Standards and Technology NIST Combining Theory, Simulation, Machine Learning, and Autonomous Experiments for Industrial Formulation Discovery Location
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301.975.8582 Michael Garth Huber michael.huber@nist.gov 301 975 5641 Description This program explores complementary aspects of atom and neutron interferometry with particular emphasis on their interplay with
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NIST only participates in the February and August reviews. NIST has recently launched a program to develop high accuracy 3D thermal imaging and control using thermosensitive magnetic nano-objects
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measurements at 18-digit accuracy using an optical clock network. Nature 591, 564–569 (2021). https://doi.org/10.1038/s41586-021-03253-4 [2] Chave, A. D. (2019). A multitaper spectral estimator for time-series
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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 Autonomous MOF Synthesis for Direct Air Capture Sorbents Location Material Measurement Laboratory, Materials Measurement
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measurement platforms using present and next generation electron microscopes. If you are a creative individual and can imagine what “can be” given the data richness of our program, we invite you to apply and