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include the development of novel polymeric mechanical testing devices, novel adhesion blister testing devices, development of high-throughput screening devices, informatics, and data base development. key
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extensive internal and external collaborations, providing access to a full range of state-of-the-art materials characterization and computational modeling capabilities. The results will have broad
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via laboratory testbeds, numerous machining centers, and a nanoscale science center. Furthermore, NIST provides computational resources and has an interest group for AI that regularly meets, giving
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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
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for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring of such processes be experimentally validated under highly controlled
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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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of the AFM probe-sample interaction. This research opportunity will focus on developing state of the art AFM instrumentation and computation modeling for 3D nanoscale property characterizations. In either
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and computational models. key words additive manufacturing; phase transformations; processing-structure-property relations; metals; computational modeling; Eligibility citizenship Open to U.S. citizens
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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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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