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these methodologies in such diverse areas as the calculation of global warming potentials and of rates of chemical reactions on nanoparticle surfaces. Simulation of reactive processes on metallic surfaces and on
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sensors for measurements before and during manufacturing processes, analyze the data with a fusion of metrological approaches and machine learning, and monitor and predict the performance of machines and
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certainly impact the design of inhibitors towards ERK1/2. We have only scratched the surface of this important problem, and our discoveries to date now set the stage for deeper examination. Needed are further
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are developing microfluidics to measure material properties and structure. Protein, polymer and surfactant solutions and suspensions and emulsions are being characterized using computer-controlled microfluidic
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changes from physical or chemical processing, the addition of other measurement modalities and/or using more sophisticated machine learning techniques. The proposal will emphasize the role of metrology
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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
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Description Nanomechanical properties are critical for the design of all nanodevices. For example, all nanodevices experience mechanical loads during processing and service, and quantitative predictions
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NIST only participates in the February and August reviews. The design and operation of sustainable buildings face multiple challenges to meet energy efficiency, indoor air quality and other
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NIST only participates in the February and August reviews. Electromagnetic techniques can provide a means for rapidly analyzing or processing biochemical samples in a manner that can be readily
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of atoms from their positions of equilibrium. It is a discrete function defined only at the discrete atomistic sites. This discrete function needs to be calculated by accounting for the discrete structure