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of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic
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. This computational approach, incorporating quantum mechanics, can help materials research by a) directly simulating and interpreting experiments, b) establishing relationships between material structure and properties
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center. Applicants are expected to be skilled in one of the programming language such as C++/C, Perl, Matlab, or R, and have majored in Chemistry, Statistics, or Computer Science. Reference Yang X, et al
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jessica.reiner@nist.gov 843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through
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understanding of the physics of the QAHE necessary to design and develop new quantum resistance standards. Additional applications in quantum information science (QIS) can be envisioned for robust QAHE devices
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these models do not account for realistic conditions and require lengthy computational time. In order to overcome the practical challenges and numerical bottlenecks, the Fire Research Division of NIST’s
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also difficult; currently available wavefunction diagnostics are not yet reliable for this purpose and partition functions include uncontrolled approximations. key words Ab initio; Computational
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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
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We develop and utilize state-of-the-art experimental and computational techniques to acquire, evaluate, and correlate thermodynamic data of standard reference quality with a particular emphasis on
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; Computational microscopy; Dimensional metrology; Optical imaging;