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dioxide, (4) assessment of traceability and uncertainty budgets for existing and newer methods to examine aqueous equilibrium. The goal of NIST’s ongoing effort with water quality is to provide reference
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MnPSe3" https://www.science.org/doi/10.1126/sciadv.abj3106 3) "Recent progress in the JARVIS infrastructure for next-generation data-driven materials design" https://pubs.aip.org/aip/apr/article/10/4
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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relevant surface parameters. This project employs combinatorial gradients, arrays, and patterned surfaces of grafted polymers to generate robust, information-rich substrates for (1) the understanding/control
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example applications might include evaluation of data quality, assistance to beamline and experimental configuration, data analysis worklows, and integration into multi-model and multi-beamline measurement
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, with raw data accessible from a CDCS database hosted at https://potentials.nist.gov/ . Calculation methods will be integrated into the iprPy calculation framework [1], with source code available
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quantum methods to improve sensitivity of DCS References: https://www.nist.gov/programs-projects/greenhouse-gas-and-atmospheric-trace-gas-measurements Cossel, K. C., Waxman, E. M., Giorgetta, F. R., Cermak
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, including data analysis and novel statistical approaches. We are particularly interested in characterizing microbial cells in the planktonic state as well as communities of cells. We are seeking researchers
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jason.widegren@nist.gov 303.497.5207 Description https://www.nist.gov/programs-projects/electric-acoustic-spectroscopy-intermolecular-interactions-solution#OnChip NIST’s Material Measurement Laboratory (MML) and
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Bajcsy, PhD Information Technology Laboratory (ITL) National Institute of Standards and Technologies (NIST) Phone: 301-975-2958 Email: peter.bajcsy@nist.gov URL: https://www.nist.gov/people/peter-bajcsy