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Measurement Science to Advance Understanding of Chemical Equilibria in Natural Waters NIST only participates in the February and August reviews. NIST has a long-standing program in electroanalytical
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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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RAP opportunity at National Institute of Standards and Technology NIST Channel Sounding and Radio Frequency Propagation Location Communications Technology Laboratory, Radio Frequency Technology Division opportunity location 50.67.22.C1019 Boulder, CO NIST only participates in the February...
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RAP opportunity at National Institute of Standards and Technology NIST Durability of Concrete Materials Containing Reactive Minerals in the Aggregate and Concrete Location Engineering Laboratory, Materials and Structural Systems Division opportunity location 50.73.11.C1032 Gaithersburg,...
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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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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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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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procedures must be developed. The new hybrid AM processing methods will be instrumented and characterized using a variety of experimental techniques and computational models. key words additive manufacturing