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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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are essential for broad adoption of these methods, this postdoc would collaborate with a unique array of technology and informatics developers in the Genome in a Bottle Consortium to develop authoritative de novo
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. The research includes experimental measurements on industrially-pertinent materials using a range of advanced methods (various modes of transmission electron microscopy, x-ray/neutron scattering, x-ray
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. At NIST, we use large-geometry SIMS instruments to develop new particle analysis methods, improve analytical accuracy and reproducibility, and collaboratively develop new microparticle reference materials
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of the instrument fail or are attacked by an adversary. We would like to address the safety concerns by researching a metrology for establishing digital references [2], safety zones (boundaries), validation methods
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natural- and engineered-wood-products. These calibration measurements, analysis tools, resulting material property sets, and comparisons of experimental measurements and numerical simulations of full-scale
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photolithography methods. The self-assembly of the block copolymer is directed by a template patterned by conventional lithographic methods. The block copolymer structure within the pattern template can amplify the
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computational methods (such as prior probability or creating a validated material-specific mass spectral library) and experimental methods (such as the use of isotopic labeling methods or orthogonal information
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-nitride (GaN, AlN, InN) material system. We are interested in nanowire growth techniques that include MBE, vapor transport, and catalyst methods. We are interested in a range of research topics, from
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provide a rigorous framework for the validation of novel computational methods. Computational methods on multiple scales, ranging from continuum and empirical molecular mechanics models to first-principles