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NIST only participates in the February and August reviews. The roll out of high-speed, low-latency communications networks is expected to drive economic growth through automation while creating new
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for significant improvement on the uncertainty in intensity. Current methods rely on dated methods and long traceability chains that result in uncertainty in intensity of over 20%. This is a fundamental limitation
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, since every nanoparticle produced is not identical, it also utilizes new techniques like First Order Reversal Curves (FORC) to characterize the distributions in these properties. A variety of experimental
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@nist.gov 301.975.5656 Description The Nanomaterials Research Group is interested in developing analytical methods to foster improved design of nanoparticle-based therapeutics. The design principles
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that cryogenic-compatible memory elements can be developed that can be integrated with the superconducting logic circuits. The goal of this project is to develop nanoscale ferromagnetic devices that can be
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plasticity, where genetic drift, transgene instability, or chromosomal rearrangements can alter product quality or yield over time. Understanding this genomic evolution is essential for assuring
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Curt Andrew Richter curt.richter@nist.gov 301.975.2082 Description Our research team is performing foundational experimental research to develop an improved understanding of the physics of the quantum
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continues to push patterning to new limits. There are significant needs to understand how the components in these resists are distributed, and critically whether there is aggregation that could contribute
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algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling, Analysis, and Uncertainty Quantification Location Information Technology Laboratory, Applied and