80 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" positions at NIST
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liquid chromatographies, organic-MS, and ion source development to pursue interdisciplinary projects in the areas outlined. Mass Spectrometry; Analytical Chemistry; Inorganic; Organic; Tracer; Particle
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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
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to this research is the development and application of real-time data analysis pipelines to process the vast, high-speed XRD datasets generated during AM processes. These pipelines will utilize
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, materials modeling (including finite element simulations, and theory), and the development of a high-speed circuit to quantify fiber alignment in composites in real time. To develop this technique, a
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. In this project, we are developing metrology needed for the synthesis, processing, and characterization of low-dimensional materials to enable reliable nanoscale device development and manufacturing
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particles (usually photons), offers a fundamentally new physical resource for technological experimentation and development. We are developing tools and protocols for quantum networks, focusing mainly
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, are promising emerging manufacturing technologies for producing complex and highly-customized parts. These processes have been in development over the past 15+ years and their capabilities have grown
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, (2) interpretation of experimental spectra, (3) development of semi-empirical methods, (4) studies of reactivity indices, (5) computational electrochemistry, and (6) chemical informatics. The explosion
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optomechanical sensors [3]. This very active area of research combines work in instrument development, nanophotonics, and spectroscopy. [1] Long, D. A., et al. (2014). "Multiheterodyne spectroscopy with optical
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and data-driven models [2, 3]. Metric Identification: Identifying key quality metrics for various "digital objects" throughout the ICME development lifecycle. Uncertainty Quantification & Propagation