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RAP opportunity at National Institute of Standards and Technology NIST Applied Optimization and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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techniques. Developed models will be used to optimize processing and conventional alloy compositions for additive manufacturing. T. Keller, G. Lindwall, S. Ghosh, L. Ma, B.M. Lane, F. Zhang, U.R. Kattner
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
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Quantum networks rely on entangled photons to distribute quantum information across the network. In our group, we study these photon sources as well as ways to utilize and optimize them for use in quantum
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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
of sound, force, and vibration; accurate optomechanical sensors for sound, force, and vibration; quantum acoustical measurements based on phonon counting and entanglement; optimal incorporation of physical
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Description Mathematical modeling forms the basis for understanding, simulating, optimizing and controlling numerous scientific phenomenon and associated measurements. Mathematical models frequently take the
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system for spinal imaging. The hyperpolarized microMRI work will focus on developing benchtop imaging systems for biopsies and organoid growth. The primary focus will be on optimizing the integrated
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of novel optical methods for nanoscale dimensional measurements using the NIST 193 nm Microscope: a newly upgraded, custom-built, world-class high-magnification optical imaging platform optimized
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coefficients, and colossal magnetoresistance. Materials with optimal properties are generally solid solutions, often involving four or more different metal ions. Research opportunities exist in the systematic