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and human breath). This project focuses on the development of advanced sensing components-individually or within sensor systems-that can help to push performance to new levels, thereby impacting
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Semiconductor manufacturing is a complex procedure with challenging variations in machines and processes. For example, due to high-mix semiconductor manufacturing, in which hundreds of types of products
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are seeking researchers to contribute to the development and application of advanced measurement and automation techniques for exploring processing-structure-property-performance (PSPP) relationships in
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. This problem becomes even more pressing for simultaneous multi-qubit operations. The goal of this project is to develop software tools for the automated tuning of high-fidelity readout and gates in silicon spin
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the use of laser pumping and silicon micromaching. This proejct develops compact magentic sensors than combine high sensitivity and accuracy with vector field readout and manufacturability. We design novel
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method that performs well across all types of microbial samples is very challenging. The difficulty increases considerably when quantifying microbial mixtures, which are increasingly relevant for many
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using them to demonstrate new applications in quantum information science. We have used radio-frequency interferometry to achieve ultra-sensitive high-speed single-photon detection [Applied Physics
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chemicals. While neutron and X-ray scattering methods are workhorse techniques for characterizing model formulations, the large number of components in many real products makes mapping the high-dimensional
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with a specific focus on fatigue (both high and low cycle) and fracture. Industrial relevance will be ensured by leveraging NIST’s partnerships with AM industry stakeholders, along with internal partners
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Laboratory with the Synchrotron Science Group and involve occasional travel to Gaithersburg, MD. The candidate would be responsible for planning and performing high-throughput XAS, XRF, and XRD measurements