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to optimize the stability, targeting, and delivery of drugs using nanoparticles requires a thorough understanding of the roles the NP core (e.g., size, shape, composition, etc.) and surface properties
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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and optimize separations design. We are seeking collaborators to work with NIST researchers to develop on-chip electric-acoustic spectroscopy to characterize intermolecular interactions in solution. We
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experimental data archives available at NIST/TRC and advanced multidimensional optimization techniques to generate self-consistent, predictive force-filed models applicable over wide range of conditions. key
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chemical species and ligands that may bind a given adsorbate more or less favorably. These variations allow enormous potential for optimizing physical properties, such as the selective adsorption of one
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; signal averaging can be used to optimize signal-to-noise ratios; a wide range of molecular masses is accessible; and the sample can be gas, liquid, or solid. Despite these advantages, the use of NMR
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; narrow, symmetric peaks and flat baselines are readily obtained for most samples; signal averaging can be used to optimize signal-to-noise ratios; a wide range of molecular masses is accessible; and the
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Description The properties of finished fuels are crucial to the optimization of not only engine operation, but also for the processing of fuels. As petrochemical feed stocks become increasingly scarce
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optimizing adenovirus and lentivirus assays, automating adenovirus plaque identification, developing label free measures of cell transduction, quantifying extracellular matrix effects on infectious titer
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. Chemical engineers constantly need reliable property data for process design development and optimization. This information is predominantly coming from scientific publications. Thousands of papers