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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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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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RAP opportunity at National Institute of Standards and Technology NIST Lightweight Cryptography for Resource Constrained Applications Location Information Technology Laboratory, Computer
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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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Feedback Lasers at 980 nm," 2024 IEEE 29th International Semiconductor Laser Conference (ISLC), Orlando, FL, USA, 2024, pp. 1-2, https://doi.org/10.1109/ISLC57752.2024.10717343 L. C. Ahler et al., "High
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include the development of novel polymeric mechanical testing devices, novel adhesion blister testing devices, development of high-throughput screening devices, informatics, and data base development. key
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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