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ferroelectrics, thermoelectrics, and nanomaterials. Computational modeling approaches include high-throughput computation (see jarvis.nist.gov), predictive tight-binding analysis (see github.com/usnistgov
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RAP opportunity at National Institute of Standards and Technology NIST Computational Investigations of Molecular Interface Formation from the Perspective of Cosolvent Preferential Interactions
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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, scattering, etc. Concurrently, computational modeling will be used to predict both structure-property relationships and degradation rates based on the number and distribution of the monomers with
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example applications might include evaluation of data quality, assistance to beamline and experimental configuration, data analysis worklows, and integration into multi-model and multi-beamline measurement
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RAP opportunity at National Institute of Standards and Technology NIST Computational Studies of Functional Oxide Materials and Devices Location Material Measurement Laboratory, Materials
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Computational Mathematics Division opportunity location 50.77.11.B7430 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Vladimir V Marbukh marbukh@nist.gov
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critical to the relative dissociation rates. Finally, experimental spectra can only be simulated by modeling important instrumental biases, such as mass discrimination. key words Ab initio; Computational
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NIST only participates in the February and August reviews. The Applied Economics Office (AEO) at NIST works closely with the NIST Community Resilience Program (CRP) and external collaborators
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RAP opportunity at National Institute of Standards and Technology NIST Analysis, Modeling, and Simulation for Performance-Based Seismic Engineering Location Engineering Laboratory, Materials and