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acoustically isolated with a phononic crystal, providing both high mechanical and optical quality factors. Through optimal optical and mechanical design, this approach could allow for quantum control in
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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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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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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