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@nist.gov 301.975.2860 Description New developments in detector technology have made possible the acquisition of the full electron scattering distribution at each pixel in a scanning transmission electron
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, which can be leveraged to monitor nanomaterial size distributions and corresponding chemical compositions during controlled transformations in complex media. Reference Pettibone JM, et al: ACS Nano 7
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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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to the number of available experimental restraints. In this project we aim to maximally regularize the derived ensemble of models by determining multi-dimensional probability distribution functions
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, scattering, etc. Concurrently, computational modeling will be used to predict both structure-property relationships and degradation rates based on the number and distribution of the monomers with
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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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-quantum cryptography; quantum random number generation (QRNG) and quantum key distribution (QKD); position-based cryptography; and cryptography based on near-term quantum computing devices. Research will be
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for the chemical characterization of surfaces and interfaces found in heterogeneous thin film and nanoparticle systems. Of particular interest are species distributions on patterned surfaces, nucleation and film
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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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) absorption and coherent Raman microscopy. We have demonstrated that both IR- and Raman-based microscopy can map the distribution of biomolecules and unravel the cellular response to external stimuli