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technologies to manipulate biological macromolecules such as DNA, and the controlled degradation of tissue engineering scaffold or drug delivery materials. To optimize performance and to design new applications
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and utilize equipment such as high- and low- field NMR/MRI systems and non-traditional systems such as single-sided magnets. In addition to this equipment, techniques such as finite-element modeling and
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mass spectrometric (MS) detection for quantitative analysis of dietary supplements; (2) use of high-resolution technologies (such as ultrahigh pressure LC, high-temperature LC, two-dimensional gas
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). Analytical and Bioanalytical Chemistry 408: 4179-4190, 2016 Steroid; Thyroid; Biology; Endocrinology; Endocrine Disruption; LC-MS/MS; High Resolution MS; Untargeted omics; Aquaculture
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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of force field models is not performed in a systematic manner. The parameters are usually obtained to reproduce limited experimental observations, often of questionable or unknown quality. Furthermore
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, temperature, aerosol levels, and other physical environmental variables. Such measurements require high accuracy to meet the stringent demands of climate research, land and environmental monitoring, and weather
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high pressure gas sorption isotherms in support of materials development for carbon capture and natural gas purification. The materials to be used in this project may be porous solids, powders
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the long-term health and performance of FRP/concrete in structural applications. Specific research areas include (1) accelerated laboratory testing of FRP/concrete samples to simulate long-term, outdoor
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the activity of radioactive gases (Kr, Xe, H) not only at the traditionally high levels (~ MBq) normally done by metrology institutes, but also at low levels (< mBq) needed to provide metrological traceability