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energetics, thermodynamics, kinetics of protein-DNA interactions, and related phenomena, and connecting these measurements to organism fitness. Computation for engineering biology, such as RNA circuits, in
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Developing Advanced Neutron Reflectometry Techniques to Study Membrane-Associated Proteins NIST only participates in the February and August reviews. At the NIST Center for Neutron Research, neutron scattering is routinely used to study solutions and surface adsorption of biomacromolecules....
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of structural responses. References Wong KKF, Speicher MS: “Improved Method for the Calculation of Plastic Rotation of Moment-Resisting Framed Structures for Nonlinear Static and Dynamic Analysis”. Computational
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NIST only participates in the February and August reviews. This program involves multimodal imaging techniques that use magnetic resonance imaging (MRI) as either a base or as a complimentary
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NIST only participates in the February and August reviews. Research on photovoltaics focuses on the development of new and improved device characterization methods for various cell technologies and the improvement of measurement science to reduce uncertainties associated with the power rating....
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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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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of solvation, redox potentials, pKa, spectroscopic observables, enzyme kinetics, etc) for these processes provide a rigorous framework for the validation of novel computational methods. Computational methods
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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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; Combinatorial library; Informatics; High-throughput; Composition spread; Hyperspectral data Analysis; Data mining; Functional materials;