178 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEUP" positions at NIST in United States
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information over quantum networks but can also be used for high-efficiency optical modulation and microwave sensing applications. Most devices of interest here will convert microwave photons to acoustic waves
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assemblies (SolidWorks experience is preferable), experience with developing VI’s in LabVIEW, and experience with data and image processing (MATLAB experience preferable). key words Additive manufacturing
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will be complemented by computer model simulations using available capabilities based on methods such as density functional theory (DFT). [3] [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R
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analysis at lower frequencies, we can obtain frequency-dependent impedance data over the extremely broad frequency range from several 100 Hz to 100 GHz. The electrical impedance of planar measurement
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of small volumes of liquid samples as a function of temperature, composition, and concentration. These measurements can yield information on the polarization dynamics of inorganic nanoparticles, organic
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valuable qualitative and quantitative information that can be used to develop and validate fundamental deformation models. We have also used submicrometer X-ray beams at the Advanced Photon Source
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system, offers higher sensitivity to surface displacement (noise floor of ~ 0.1 pm) than quasi-static PFM (~ 10 pm). However, conversion of the experimental results to quantitative displacement data is
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, pixelated detection system. Taking full advantage of this cutting edge technology will require the development of new methods for collecting, processing, and interpreting the large amounts of data we now have
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-Boulder currently has the only supercritical CO2 corrosion facility in the country. Important corrosion data will inform new standards on CO2 pipelines (materials and operating conditions) being developed
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systems. This work will specifically focus on combining ML algorithms with classical data analysis and control techniques to develop robust in situ (i.e., in real-time, during the operating experiment