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This program involves multimodal imaging techniques that use magnetic resonance imaging (MRI) as either a base or as a complimentary technique. Multimodal imaging combines information from two or more imaging
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301.975.6050 Jan Obrzut jan.obrzut@nist.gov 301.975.6845 Description As part of a collaborative NIST-wide program involving structural characterization, modeling, and high-throughput microwave measurement, we
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on improving standoff methods for measuring the flux of carbon dioxide from smokestacks and distributed area sources (5 km x 5 km) by advancing the applications of integrated path differential absorption LIDAR
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collisional parameters, such as energy levels, radiative and autoionization rates, collisional cross sections, using the most advanced relativistic methods and codes. With the help of large-scale collisional
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to reliable manufacturing of the next generation computing devices. Computational imaging methods such as coherent diffractive imaging, Fourier ptychography, structured illumination techniques, and other super
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operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio astronomy, climate monitoring, mm-wave imaging, and high-speed wireless data relays. The main method
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RAP opportunity at National Institute of Standards and Technology NIST Applied Optimization and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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) and cannabidiol (CBD), as well as numerous terpenes, flavonoids, and fatty acids. It is known that THC, CBD and synthetic cannabinoids with analogous structures can bind to cannabinoid receptors
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chirped-pulse methods are used to measure the spectra of bulk (pellet) samples, thin-film samples on waveguide interfaces and gas phase samples over temperature ranges from 1.7 K to 350 K. The experimental
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on developing advanced magnetic resonance imaging (MRI) that can provide better artefact-free images and more precise quantitative measurements. This research includes developing: new methods for RF and gradient