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, plays an important role at NIST in the development and interpretation of new measurement techniques, as well as aiding the understanding of the behavior of new materials in existing measurements. In
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are not sufficiently accurate, or the methods are too expensive to accurately model sufficiently large systems. As a result, these computational problems are ideal for developing machine-learned potentials
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parameter space challenging due to the sheer number of possible compositions. To enable rational design of these materials, we have developed a highly adaptable sample environment that can be programmed
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david.bunk@nist.gov 301.975.5071 Johanna Camara johanna.camara@nist.gov 301.975.4672 Description Research focuses on understanding and developing advanced techniques in mass spectrometry and applying them
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edward.sisco@nist.gov 301 975 2093 Description This opportunity focuses on developing new methods, metrics, approaches, and techniques for the forensic analysis of seized drugs. Seized drug analysis is the most
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This research focuses on developing new applications of high resolution/accurate mass (HRAM) mass spectrometry for environmental, forensic, and nutritional analyses. HRAM mass spectrometry instrumentation has
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are developing machine learning-driven autonomous metrology research systems, with the goal of accelerating the development of self-correcting photonic and quantum sensor networks. These systems combine machine
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environments and low levels of energy consumption. This goals of this research are to (1) develop methods to measure contaminant emission and emission parameters from building materials and air cleaners; (2
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infrastructure, development of methods for storage and transport of alternative fuels and development of critical data on effects of radiation on structural materials. Our laboratory also maintains the nation’s
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on the science that will underpin the development of the needed metrology to close this gap. The ideal candidates would have some understanding of high frequency electrical characterization, as well as substantial