141 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at NIST
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characterization tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration
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. The knowledge of viscosity is essential for designing chemical reactors, pipelines, pumps, refrigeration equipment, etc. Several experimental methods exist and are widely used for measuring viscosity; however
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–structure–property relationship by data fusion: Bayesian co-regionalization N-dimensional piecewise function learning. Digital Discovery, 3(11), pp.2211-2225. Materials Genome Initiative; Machine learning
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sophisticated potential energy functions and adequate sampling to reveal the associated, intricate molecular details. In addition to being centrally important, high-quality experimental data (free energy
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conditions. For that purpose, Raman spectroscopy-enhanced indentation technique (RS-IT) is being developed at NIST which combined instrumented indentation with Raman spectroscopy to analyze in-situ
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Advanced Microwave Microfluidics for Real-time Diagnostics and Chemical Analysis NIST only participates in the February and August reviews. Healthcare is a driving force in the global economy. In
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, roughly), where the blackbody field is 10,000 times smaller. In this regime, Rydberg atoms could represent a factor of 100 improvement in sensitivity to 300 K blackbody fields, while being primary. Proving
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Computational Investigation of Flexible Metal-Organic Framework Materials for Gas Storage and Separation NIST only participates in the February and August reviews. Flexible metal-organic frameworks are a fascinating subfamily of porous crystalline materials. The unique structural flexibility...
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, etc. Exploring the fundamentals of the separation and detection methods is also part of this opportunity. References Striegel AM: On-line coupling of hollow-fiber flow field-flow fractionation and
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. Currently, near ambient pressure electron spectroscopy is conducted using dexterously designed electron energy analyzers coupled with differentially pumped electron lenses, which made possible measurements