83 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at NIST
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of applicatioins and phenomena including quantum information processing, quantum simulation, and quantum metrology. Our group is part of the Joint Quantum Institute and we have research on both
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. However, detailed analysis of biologics is quite limited using these approaches. In contrast, nuclear magnetic resonance (NMR) is a high resolution and information-rich technique that is highly sensitive
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data analysis aspects of these multi-component soft matter therapeutic formulations. The binding between polyphosphazenes and proteins are visualized by cryogenic electron microscopy (cryoEM), therefore
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NIST only participates in the February and August reviews. The modern transmission electron microscope (TEM) is capable of atomic-resolution structural and chemical imaging. However, such data
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data analysis techniques, instrument and sample environment development, and simulation methods to compare to experimental results. We are particularly interested in the development of two techniques
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technique. Multimodal imaging combines information from two or more imaging modalities such as MRI, computed tomography (CT), positron emission tomography (PET), and ultrasound (US). These combined techniques
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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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sophisticated potential energy functions and adequate sampling to reveal the associated, intricate molecular details. In addition to being centrally important, high-quality experimental data (free energy
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of prior physics knowledge into the data analysis, including both physics theory and databases of experimental and computational materials property data. We currently run 10 diverse autonomous platforms
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, the property information demand from industry is much larger than the current rate of experimental data production. Consequently, there is an obvious need for accurate methods that can predict viscosity