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240.314.6361 Description Despite the great promise for the field of proteomics, technologies for identifying and quantifying low abundance proteins remain limited. Mass spectrometry (MS) is the most widely used
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Reference Materials (SRMs) include several complex biological materials, especially human plasma and urine. These materials are particularly useful to distinguish between biological variability and
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of emerging devices. The ultimate goal is to explore the landscape of emerging hardware-based artificial intelligence systems to better understand the role played by measurement and metrology in these complex
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or algorithms for detection of the drug signal in complex mass spectral data and chemometrics for identification or classification of drug(s) is also of high interest.Through this opportunity, collaboration with
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digital models through an additive process. AM enables the rapid production of complex parts with minimal lead time, fewer constraints, and reduced assembly requirements. This makes it an attractive option
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NIST only participates in the February and August reviews. This project’s focus is to develop light-scattering nanoscopy methods for rapid, multi-attribute characterization of nanoparticles
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shown that these structures are almost purely radiatively broadened at 9 K. We are soliciting proposals to extend this experimental method to investigate multi-exciton and charged exciton complexes. We
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@nist.gov 303 497 5530 Nikolas Wilson Hrabe nik.hrabe@nist.gov 303.497.3424 Description Additive manufacturing (AM) is a transformational technology for fabricating complex metallic shapes directly from 3-D
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resulting in persistent microscopic and nanoscale particles that can enter the food chain. There is a growing public awareness of the potential risks associated with these materials and an increasing focus
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these measurements and models will initially be developed and validated using pure cultures and simple mixtures of microbes, the goal is to move toward consortia of increasing complexity, eventually probing