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ferroelectrics, thermoelectrics, and nanomaterials. Computational modeling approaches include high-throughput computation (see jarvis.nist.gov), predictive tight-binding analysis (see github.com/usnistgov
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solids (and associated kinetics and thermodynamics) and relevant heat/mass transport properties. To address this need, the NIST Fire Research Division has been developing experimental and analytical tools
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and calibration, radiation-hardness testing, personnel protection, radiation modification of materials, waste treatment, and high-energy computed tomography. These accelerator facilities afford
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has an active effort in the development of electron microscopy methods for high spatial resolution materials characterization and has recently upgraded its aberration-corrected STEM with a high-speed
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. These efforts will facilitate high throughput imaging to attack pressing metrological needs in the biological and medical community. This interdisciplinary research opportunity involves theoretical
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, physical, optical, and thermal properties of WBG semiconductors, including diamond, make these materials among the most prospective for high-frequency power electronics, quantum computing, solar-blind
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applications (semiconductor industry, micro- and nano- electromechanical devices, etc.). Such advancement requires seamless integration of high-speed measurements onto basic AFM modes and realistic modeling
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for both practical and fundamental physical measurements. One area of interest is optomechanical sensing, where high displacement sensitivity and optomechanical interactions can be leveraged for physical
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experiments and datasets for model validation of multi-phase computation fluid dynamics (CFD), discrete element method (DEM), or data-driven modelling. Measurement of defect types and populations using micro- x
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elements with sub-wavelength periodicity (“high-contrast gratings”) as optomechanical elements. Such structures enable a rich variety of devices, including mirrors, polarizers, and filters in a configuration