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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
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security, the purpose of control is optimization of the corresponding trade-offs. In a situation of complex systems comprised of selfish elements, control should take advantage of market mechanisms, which
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) assessment of laboratory quantum systems. The candidate will develop custom optimization algorithms that combine ML with domain knowledge to establish fully automated control protocol. The proposed protocols
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shocks and stressors). This research effort relies extensively on modeling and optimization, with consideration for field data collection, and statistical and geospatial data analysis. Informed by
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. Analytical biochemistry plays a significant role in optimization of the production process, testing and clearance of associated impurities, and characterization of product- and process-related variants
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relate to and inform uncertainty estimates. Our current research addresses such problems by combining physics with tools from applied analysis, probability theory, asymptotics, optimization, and numerical
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optimization for large-scale fabrication of diamond-based devices such as HMFETs and radiation detectors. In particular, the transfer doping of hydrogenated diamond is used to form 2D hole gas (2DHG) conducting
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technologies to manipulate biological macromolecules such as DNA, and the controlled degradation of tissue engineering scaffold or drug delivery materials. To optimize performance and to design new applications
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increasingly clear that Machine Learning/AI are having great impacts across a number of fields of physics. This research opportunity revolves around applying these techniques towards optimizing experimental
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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties