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, the resolution improvement can scale like 1/N with properly prepared states, where N is the number of photons in the state. While interferometry and other applications would benefit from high-N photon states
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for metastatic melanoma, but most patients develop resistance. Because of this, ERKs are important therapeutic targets, and high-affinity inhibitors are in clinical trials. Therefore, understanding the molecular
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for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring of such processes be experimentally validated under highly controlled
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ultrafast high-temperature sintering [2]. In this approach, the temperatures are as high as in conventional processes, but the exposure is shortened from hours to seconds. Such ultrafast heating rates
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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
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needed to have confidence in those measurements. We focus on genome-scale multiplexed measurements of nucleic acids and proteins, using approaches such as microarrays and ultra-high throughput “next
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303.497.4598 Description The Applied Chemicals and Materials Division (ACMD) of the NIST Material Measurement Laboratory (MML) performs numerical modeling to advance laboratory measurements of exhaled breath
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are used to produce the products at high levels and high density, conditions that result in stress to the cells. To ensure the economic and safe production of biopharmaceuticals requires multiplexed
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or algorithms for detection of the drug signal in complex mass spectral data and chemometrics for identification or classification of drug(s) is also of high interest.Through this opportunity, collaboration with
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https