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(JARVIS) for data-driven materials design" https://www.nature.com/articles/s41524-020-00440-1 2. https://jarvis.nist.gov/ 3. https://www.nist.gov/people/kamal-choudhary Keywords Machine learning
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National Laboratory, June 28, 2013 https://www.osti.gov/servlets/purl/1090008 Frenkel, M.; Dong, Q.; Wilhoit, R. C.; Hall, K. R. TRC SOURCE Database: A Unique Tool for Automatic Production of Data
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281 0908 Description Community Resilience Metrics The Community Resilience Program ( https://www.nist.gov/community-resilience) is developing science-based tools to assess resilience and support
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tools to enhance and automate beamline operations. Some example applications might include evaluation of data quality, assistance to beamline and experimental configuration, data analysis worklows, and
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characterization, and opportunities focused on acoustic nondestructive evaluation of existing structures. We apply fracture mechanics and materials science principles to model data, furthering the
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.7.044603 2) " Magnon-phonon hybridization in 2D antiferromagnet MnPSe3 " https://www.science.org/doi/10.1126/sciadv.abj3106 3) " Recent progress in the JARVIS infrastructure for next-generation data-driven
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Laboratory, Chemical and Biochemical Reference Data Division opportunity location 50.63.21.C0659 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone
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the past, creating “gappy” data which often strain, or outright violate, the assumptions underlying the statistical models currently used. This project centers around investigating and advancing our new
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applications to demonstrate increased confidence in output data. Proposals for this opportunity are strongly encouraged to focus on developing new tools and methods to differentially enumerate microbes in
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available in instrument development and automation, astronomical and atmospheric data analysis. Participation in more than one project is possible. Our Current Projects: NIST Stars: Motivated by the needs of