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are designed, constructed and operated to provide optimal spaces for living and working. The industry needs tools, metrics, and processes to create buildings that are more than just static structures but living
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aptamer conformation changes. Method development efforts should focus on the incorporation of a robust and optimized experimental design aimed at assessing the sources of variability, repeatability, and
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in the United States. Currently, the process of bacterial culture (testing to find what bacteria are present) and sensitivity (testing to find what kind of antibiotic will kill the bacteria present
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patient’s target cells to treat intractable diseases, such as cancer and genetic diseases. Infectious titer is a critical measurement of viral vector function and potency. Such functional measures of viral
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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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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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impediments to meeting the desired manufacturing and performance standards. Digital twins (DT) are being adopted in the AM industry to optimize the entire manufacturing process and enable products with high
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
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sample preparation equipment (including cross-sections) and also an ability to fabricate prototype devices using electron lithography. The current topics of interest include the process development and