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semiconductors (InAs quantum dots, ErAs nanoparticles) and superconductors (WSi, MoSi, NbTiN) for single-photon detectors, all of which are developed at NIST. In addition to device processing and electrical and
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magnetometer, a high-field (7-T) superconducting quantum interference device magnetometer, a magnetic force microscope, Lorentz microscopy, and a newly developed magneto-optical indicator film apparatus
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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-eddy simulation and direct numerical simulation of the phenomena. Topics of interest include algorithm development numerical combustion, scientific visualization, and data analysis. key words Buoyancy
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spectral filters and superconducting detectors on a single chip will enable dramatic new functionality and scalability. We are developing these systems utilizing silicon photonic devices with superconducting
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prediction. In collaboration with NASA, NOAA, and the USGS, NIST develops technology to advance the calibration and characterization of ground- and space-based infrared, optical, and temperature sensors
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thin films. Complementary techniques based on scanned probes, such as electrostatic force microscopy for surface potential measurements and photovoltage measurements, are also being developed. key words
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.B1995 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Hui Wu huiwu@nist.gov 301 975 2387 Description We develop and study new materials for carbon
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Obrzut jan.obrzut@nist.gov 301.975.6845 Christopher L. Soles christopher.soles@nist.gov 301.975.8087 Description This research is focused on the development and use of cellulose nanocrystals (CNC) in
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that emit charged particles upon neutron capture. Research topics include method development, focusing on improved specificity, accuracy, sensitivity, and spatial resolution through detailed studies