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[email protected] 301.975.6207 Jacob Michael LaManna [email protected] 301.975.6809 Description Neutron imaging provides unique and powerful insight into the operation of many alternative energy devices
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303.497.3665 Karl Francis Stupic [email protected] 303.497.4564 Description Neural net systems have been developed to process magnetic resonance imaging (MRI) data from sensor space into real space and
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NIST only participates in the February and August reviews. Superconducting qubits are among the leading hardware platforms for quantum information processing, but the lack of sufficient qubit
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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301.975.4579 Description As the demand for high resolution, high content imaging increases, the cost and challenges of acquiring, storing, processing, and analyzing today’s very large imaging data sets are even
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of novel optical methods for nanoscale dimensional measurements using the NIST 193 nm Microscope: a newly upgraded, custom-built, world-class high-magnification optical imaging platform optimized
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relationship of structure and function in chemical and material systems by the integration of synchrotron X-ray measurement techniques with chemical processes and materials synthesis. The duty station would be
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the improvement of measurement science to reduce uncertainties associated with the power rating. Furthermore, as photovoltaic cells and modules age in the field under operation, various degradation
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microscope (STEM) image. This is a fundamental transformation from the existing image acquisition paradigm and could enable new types of nano- and atomic-scale metrology. The Material Measurement Laboratory
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characterization (ultrasound, x-ray scattering, IR imaging), and experimental equipment design (CAD, controls (i.e., LabView, Python, Arduino, G-code), image/video processing (i.e., ImageJ). [1] A