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properties to them, generates a finite element mesh, and performs virtual measurements. The goal is to build a computational platform that can predict the macroscopic behavior of a material from knowledge of
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implementation of this new approach by the scientific community at large. [1] Boulder Atomic Clock Optical Network (BACON) Collaboration. Frequency ratio measurements at 18-digit accuracy using an optical clock
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-amplifiers, vector network analyzers, resonators is preferred. The preferred candidates will want to gain experience with circuit simulators and device modeling, leveraging fundamental physics to create new
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tools to enable early and accurate diagnoses of disease as well as studies to elucidate mechanisms and networks in complex biological systems. Project areas include biochemical/molecular biology process
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are developing machine learning-driven autonomous metrology research systems, with the goal of accelerating the development of self-correcting photonic and quantum sensor networks. These systems combine machine
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301.975.5329 Daniel Wheeler daniel.wheeler@nist.gov 301.975.0409 Description Additive Manufacturing (“3D printing”) technologies are attractive for their ability to produce near-net-shape parts in geometries
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analysis capable of communication to other software implementing additional thermodynamic models, contacts with its collaboration network, and computational resources. A successful candidate should be
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by taking advantage of advancements in hardware and new neural network frameworks such as Recurrent Neural Networks and Transformers. We are now interested in synthesizing these advancements with other
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, M. Lueker-Boden, T. S. Santos, P. M. Braganca, M. D. Stiles, J. J. McClelland, and B. D. Hoskins, Measurement-driven neural-network training for integrated magnetic tunnel junction arrays, Phys. Rev
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volume and quality that is consistent with the use of statistical methods; machine learning techniques for knowledge discovery; protein-protein interaction network analysis; novel algorithms for next