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method that performs well across all types of microbial samples is very challenging. The difficulty increases considerably when quantifying microbial mixtures, which are increasingly relevant for many
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quantum materials give rise to technologically relevant optoelectronic properties such as superconductivity, Bose-Einstein condensation (BEC), and quantum emission. Characterization methods with nanoscale
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are developing high order integral equation methods and numerical tools for computational electromagnetics. This research focuses on the frequency domain electromagnetic field solvers that involve automatic
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, leading to significant differences between methods. NIST has world-class facilities in neutron, magnetic, X-ray, and electron techniques to investigate these methods; compare between different methods; and
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identification of its chemical components. The most sensitive and widely employed method for making such identifications involves matching tandem spectra acquired via liquid chromatography tandem mass spectrometry
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@nist.gov 301.975.4127 Description This research is centered on the development and application of analytical methods to the characterization of nanomaterials. Opportunities exist to study the composition
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. Research focuses on advancing non-classical sources of light, including single-photon on-demand sources, m-photon sources, entanglement sources, and single-photon gates. We are developing rigorous methods
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applications such as microbe strain identification in cases of bioterrorism. Projects focus on the development of NGS assays, bioinformatic methods, and data interpretation models for forensic applications
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devices, coatings, food-related materials, and personal care. Work emphasizes the development of analytical methods for quantitative measurement of engineered nanoparticle properties, including bulk and
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NIST only participates in the February and August reviews. This opportunity focuses on the development and implementation of liquid chromatography mass spectrometry methods for the quantitation