129 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions at NIST
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, to achieve fundamental understanding of the chemical and structural interactions governing the carbon capture processes. Research topics include: sorption materials, carbon mineralization, catalytic conversion
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correlations and prediction methods. The program will build on our existing efforts using Quantitative Structure-Property Relationship (QSPR) methodologies and modern machine learning methods (support vector
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with stable isotopes such as 2 H, 13 C, 15 N, and 18 O is an important tool for structural and bioanalytical methods such as nuclear magnetic resonance (NMR), small angle neutron scattering (SANS), and
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. This system is being used to see how yield loci change with plastic strain level and with changes in multi-axial strain path. Opportunities exist to study structure-property relationships using electron
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energies determined by molecular composition, structure, and vibrational mode type. Various optical methods exist to record these vibrational spectra, enabling access to the rich chemical landscape within
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Structural Systems Division opportunity location 50.73.11.B4445 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Li-Piin Sung lipiin@nist.gov 301.975.6737
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that are poorly-defined and irreproducible. We are currently working to (1) use 2D and 3D bioprinting in vitro to engineer structured microbial communities that mimic the complex spatial and genotypic organization
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stimulates the search for more effective approaches. Two groups of thermophysical property prediction methods are under rapid development presently – Quantitative Structure-Property Relationship (QSPR) methods
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chemical imaging of nanoscale structures with single-atom sensitivity. The instrument is also equipped with a specialized data acquisition module that allows STEM high-angle annular dark field (HAADF) and X