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property data primarily intended for model development that investigate how the molecular size, molecular structure, and polarity of fuel constituents impacts their thermophysical properties. Measurements
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opportunities are available in developing integrated nanophotonic architectures and devices for realizing compact, efficient, accurate and dynamic quantum AMO systems-on-a-chip. By creating a set of scalable
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, and light-matter interactions. This research opportunity is focused on developing compact, integrated cavity optomechanical devices that push the state of the art in terms of sensitivity and accuracy
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Description We are using innovative processing to develop novel superconducting materials with enhanced properties for quantum circuit applications. Critical elements for development of these materials
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computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular structure determination by NMR, with
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, oxidation, and mechanical wear of chain scission in fibers are required to support the development of predictive models. This project seeks to utilize and develop novel chemical and mechanical techniques
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Curt Andrew Richter curt.richter@nist.gov 301.975.2082 Description Our research team is performing foundational experimental research to develop an improved understanding of the physics of the quantum
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metabolomics. Our studies focus on developing new mass spectral data analysis algorithms (e.g., clustering) to better solve the common key persistent problems arising from factors such as mass shift and peak
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.B1995 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Hui Wu huiwu@nist.gov 301 975 2387 Description We develop and study new materials for carbon
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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