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formulation must be linked seamlessly. We will develop a Green’s function (GF) method for modeling color centers and other defects in nanodiamonds. The GF technique is computationally efficient and can simulate
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collaborative, interdisciplinary team to enable innovative methods for the predictive engineering of genetic sensors and other living measurement systems in bacteria and yeast. Facilities available
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data analysis techniques, instrument and sample environment development, and simulation methods to compare to experimental results. We are particularly interested in the development of two techniques
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measurement methods for characterizing light-matter interaction at the nanoscale and on ultrafast time scales; and relies on fabrication of devices in the state-of-the-art NIST Gaithersburg NanoFab. key words
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methods for electronic-based manipulation and measurements of cells and their environment in well-controlled microsystems. This research opportunity focuses on the design, fabrication, and assessment of new
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the desired N-photon state is not so rare that it renders the method impractical. We are exploring these state preparation ideas, as well as the metrology of the states produced and then once produced, the use
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analytical methods that are rapid, reliable, and sensitive. We are developing model cell expression systems based on rodent (Chinese Hamster Ovary Cells) that produce monoclonal antibodies at high levels
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the phase space inhabited by complex macromolecules and blends, nano/microplastics, nanoparticles, and carbohydrates. This will be done primarily using size-based separation methods such as SEC, AF4, and HF5
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quality and performance attributes to be produced in a repeatable manner. Current methods for using AI/ML approaches for AM DT often assume a direct correlation between AM input parameters and the relevant
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, are attempting to expedite discovery by applying modern computational methods to identification and characterization of novel material systems. In this context, the NIST/TRC Group is building capabilities in