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in a neutron beam environment, and develop image reconstruction techniques to obtain spatial distribution of the elemental composition based on spectral analysis of the emitted radiation. Much
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computational tools to predict materials properties at the quantum level. In addition, electronic structure methods that go beyond the accuracy of DFT such as Quantum Monte Carlo, GW, and other advanced
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for measurement methods and applications of theory to adequately describe distributions of particles in complex fluid environments. Our goal will be to develop analytical ultracentrifugation methods
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dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622) and monolayer graphene ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) as a
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orientations in most engineering materials have some preferential distribution due to processing conditions and deformation history, referred to as crystallographic texture. This texture affects the initial
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the distribution of drugs in the body and the accumulation of chemicals by organisms in the environment. This approach ignores the difference between storage lipids (triacylglycerides) and membrane lipids
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colonies with heterogeneous shapes, sizes, and levels of gene expression. This project focuses on systematically controlling inputs such as shape, size, and spatial distribution of colonies using cell
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opportunities are available to advance the measurement of greenhouse-gas emissions from point sources such as power plants and distributed area sources such as landfills, farms and sequestration sites. Accurate
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301.975.5251 Sushil K. Satija sushil.satija@nist.gov 301.975.5250 Description The structure of fuel cells, polyelectrolyte membranes, catalysts, and related materials, including the water distribution
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materials. We are interested in studying the structure and mechanical properties of polymer networks with defined molecular topologies (functionality, branching, and molecular mass distribution), as