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the last 2 decades.[1] However, corresponding development of robust and reproducible in vitro assays for evaluating the critical quality attributes and/or the biological responses of these nano-enabled drug
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Description We work with scientists in other NIST laboratories to develop tools for computer simulation and analysis of magnetic systems at the nanometer scale. Model verification is achieved by comparison
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the measurement of infrared radiation for applications to remote sensing, fundamental metrology, process monitoring, homeland security, defense, and biomedical areas. Specific interests include (1) the development
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) investigating the use of immersive visualization as a scientific instrument for exploration and representation of data; (2) developing interactive measurement techniques on visualizations; (3) developing ways
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Description Our group is developing chip-scale nonlinear optical devices based on dispersion engineered waveguides in a variety of materials including silicon, silicon nitride, and AlGaAs. A major thrust for
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Ravel bruce.ravel@nist.gov 631.344.3613 Description Develop methods of applying machine learning and artificial intelligence to synchrotron experimentation. This opportunity will be focused on operations
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to predict materials properties is essential to improve materials design methods. This research will focus on the development and integration of first principle calculations; atomistic simulations; and/or
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@nist.gov 301.975.8574 Description We will develop advanced methods for assessing the function of tissue engineered retinal pigment epithelium (RPE). The RPE is a monolayer of cells located in the back
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Michael Pettibone john.pettibone@nist.gov 301.975.5656 Description Detection, characterization and temporal evolution of metal nanoparticles is undergoing environmental transformations. Within
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topics include 1) the development of measurement methods and techniques to collect, sample, and characterize release material from nanocomposites under various use scenarios to aid downstream hazard