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the flow meter across different gases (so that a meter calibration carried out with nitrogen can be extrapolated to the process gas) and accurate thermophysical property data for the process gases. Our
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materials research and development by orders of magnitude, and it is a core capability and focus area for the Data and AI-Driven Materials Science Group, MMSD, MML. This research opportunity centers
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in popularity of density functional theory (DFT) has created an opportunity for critical evaluation of the performance of DFT methods versus accurate quantum and experimental data. Quantities such as
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not be effectively analyzed. DIC data are combined with finite element modeling to analyze non-uniform stress and strain states within samples during dynamic loading, and in some cases to deduce
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or atomic resolution and high information content are critical for understanding and harnessing quantum phenomena because, strong correlation typically leads to intricate phase diagrams, susceptibility
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mechanics (Monte Carlo or molecular dynamics simulation, calculation of virial coefficients from intermolecular potentials, etc.) can be used to supply data where experiments are infeasible or unavailable
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color centers for novel quantum sensing and information processing applications at the single photon level. Applicants should have experience in one or more of the following areas: nanofabrication
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. The information of the time dependent structural information is very important for many applications relying on non-equilibrium processes, such as light triggered chemical reaction to synthesize novel materials
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RAP opportunity at National Institute of Standards and Technology NIST Lightweight Cryptography for Resource Constrained Applications Location Information Technology Laboratory, Computer
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RAP opportunity at National Institute of Standards and Technology NIST Cryptography Through the Lens of Quantum Information Science Location Information Technology Laboratory, Computer Security