98 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Inria" positions at NIST
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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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github.com/usnistgov/ThreeBodyTB.jl), cluster expansion, classical potential development, and machine learning. In addition to work on specific problems, I work on developing new first principles-based
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Develop extremely high sensitivity, multi-species measurement capability with cavity enhancement Explore quantum methods to improve sensitivity of DCS References: https://www.nist.gov/programs-projects
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artifical Intelligence
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economic valuation. Development of infrastructure system metrics to aid in the prioritization of investments. See https://www.nist.gov/services-resources/software/nist-arc-nist-alternatives-resilient
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory
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Portable Air Cleaners Using a Proposed Standard Test Method https://doi.org/10.1021/acs.est.3c09331 Product ion distributions using H3O+ proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF
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More information about the fire research group https://www.nist.gov/el/fire-research-division-73300/flammability-reduction-73304 The main projects in the group are: Exposure of firefighter's to per
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. Silverman, S.W. Nam, S. B. Papp, and R. P. Mirin, "Heterogeneous tantala photonic integrated circuits for sub-micron wavelength applications," Optica 12, 585-593 (2025), https://doi.org/10.1364
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software packages) is encouraged to improve reproducibility and to increase usage by the community. [1] https://doi.org/10.1039/C9SM01877H [2] https://doi.org/10.1063/1.5123683 [3] https://doi.org