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augmented intelligent solutions that monitor, diagnose, and predict process performances to optimize production quality and yield. Proposals are welcome to develop augmented intelligent solutions
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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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infrared spectroscopy, spectroscopic ellipsometry, contact angle measurements, and atomic force microscopy. Key aspects of this work involve examination and optimization of alternative functionalization
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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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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties
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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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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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to work on optimizing MPS designs (potentially with integrated, microfabricated sensors), developing new tissues-on-chips, developing MPS for new organ combinations, and testing drug candidates in
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-driven recommendation systems that provide: Optimal and/or safest strategies for firefighting, ventilation, and search-and-rescue operations. Dynamic decision support that adapts to changing fire