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design Location Material Measurement Laboratory, Materials Measurement Science Division opportunity location 50.64.31.C0878 Gaithersburg, MD NIST only participates in the February and August reviews
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the February and August reviews. Advisers name email phone Ala Bazyleva [email protected] 303 497 5981 Description Chemical engineers constantly need reliable property data for process design
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applications, and accurate measurements of the electromagnetic properties of these often complex new materials is critical both for device design using new materials, and for the continued developement of
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hardware noise contribution to the overall fidelity and gate performance to inform the control circuit design and the signal-chain engineering. We will focus on an in-depth analysis of the correlations
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and optimization of advanced materials. These systems combine machine learning with machine-controlled materials synthesis and characterization tools for closed loop experiment design, execution, and
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Tavazza [email protected] 301.975.8496 Description To design novel 2D materials and devices (e.g., sensors and transistors), we are interested in Density Functional Theory (DFT) and/or Tight
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example hardware based spiking neural networks, including the design, modeling, fabrication, and testing. Fabrication will be done in the NIST state-of-the-art clean room. Emphasis will be placed on
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modeling color centers and other defects in nanodiamonds. The GF technique is computationally efficient and can simulate even several million atoms on an ordinary computer. It links the different
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design approaches to extending their utility. We use Small-Angle Neutron Scattering (SANS) in combination with a variety of other techniques such as light scattering and polarized microscopy to
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drug metabolites. We will then design, develop, and characterize unique sampling methods based on fundamental property data for drugs of abuse. Ultimately, we aim to have a field-deployable tool to