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trapping schemes for position retention and confers different scientific and technological application spaces which have yet to be sufficiently explored or exploited – those in which the color center may
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, process, or part qualification and providing benchmarking datasets for model validation to support industry adoption and standards development of metal BJAM. NIST has researched other AM technologies
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, CL), 2D images and diffraction, 3D to 4D hyperspectral/multimodal and 4D-STEM images. Dynamic (temporally-resolved) images recorded from our stroboscopic microscope (DOI: 10.1063/1.5131758 ), ETEM
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signals design and processing, and mutlitmodal sensing. The project welcomes expertise in robotics, serial communication protocols and microprocessors, signal processing, and finite element modeling, and
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NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital
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Digital Image Correlation (DIC) to study the non-equilibrium dynamic response of soft polymers and to explore non-uniaxial stress and strain states by testing novel sample geometries that otherwise could
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approval, we seek to develop methods to measure local stress states in benchmark constriction-flow geometries that lead to blood damage. For example, we seek improvements in flow-field imaging, flow
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inertial navigation, medical imaging, and all-optical sensor networks. We are also interested in integrated cavity optomechanical devices that have sufficiently low optical and mechanical loss
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distribution of nanomaterials, and to study the fate of nanomaterials in the environment or in biological systems. key words Buckeyballs; Compositional imaging; Metals in nanomaterials; Nanomaterials
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more complex for CR-PFM than quasi-static PFM. Our project is aimed at establishing CR-PFM as a technique for quantitative imaging of bias-induced strain, and for measuring frequency dependent responses