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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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, E.A. Lass, J.C. Heigel, Y. Idell, M.E. Williams, A.J. Allen, J.E. Guyer, L.E. Levine, Acta Mater., 139 (2017) 244-253. Additive manufacturing; Metals; Phase transformations; CALPHAD; DFT; Computational
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RAP opportunity at National Institute of Standards and Technology NIST Microfabricated Magnetic Sensors and Novel MRI/NMR Agents and Microdevices Location Physical Measurement Laboratory, Applied Physics Division opportunity location 50.68.62.B8322 Boulder, CO NIST only participates in the...
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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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NIST only participates in the February and August reviews. The design and operation of sustainable buildings face multiple challenges to meet energy efficiency, indoor air quality and other potentially competing performance goals. Achieving these goals requires the development and application of...
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RAP opportunity at National Institute of Standards and Technology NIST Lightweight Cryptography for Resource Constrained Applications Location Information Technology Laboratory, Computer
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for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or simulation that combine the best aspects of physics
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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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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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provides computational resources and has an interest group for AI that regularly meets, giving the successful applicant an opportunity to interact with a variety of NIST engineers and scientists. Smart