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Nathan Woods

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Nathan Woods

 https://orcid.org/0000-0002-7664-2179
    20092022

    Research activity per year

    Personal profile

    Biography

    Nathan Woods joined Idaho National Laboratory as a visualization specialist in 2021, where he creates high-quality images and video to support science and engineering throughout the lab. He is most recently from Los Alamos, New Mexico, and he has worked variously in the computer simulation of fluid mechanics1, verification and validation of computer simulations2, and advanced visualization and analysis3,4 of computational data.

     

    Research Interests

    Nathan’s focus is the application of visualization tools and techniques to challenges in data analysis and scientific communication.

    Education/Academic qualification

    PhD, Aerospace Engineering, University of Colorado Boulder

    Award Date: May 1 2015

    Master, Aerospace Engineering, University of Colorado Boulder

    Award Date: May 1 2012

    Bachelor, Physics, Brigham Young University

    Award Date: Apr 1 2008

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    • 5 Conference contribution
    • 4 Technical Report
    • 4 Article
    • 1 Chapter

    • Modeling and Simulation of a Nuclear Weapons Test: Operation Teapot MET

      McBride, J., Barros, C., Best, M., Thrussel, J., Woods, N. & Cooley, J., 2022, In: Countering WMD Journal. p. 75-93 18 p.

      Research output: Contribution to journal › Article

    • Computing Angular Distributions from Simulation Data

      Woods, C. N., Jul 29 2021

      Research output: Book/Report › Technical Report

    • Evaluating Symmetry in 3-dimensional Simulation Data

      Woods, C. N., Jul 20 2021

      Research output: Book/Report › Technical Report

    • Fusion: automation of reproducible analysis and visualization workflows for LANL applications

      Biwer, C. M., Rogers, D. H., Patchett, J. M., Woods, C. N. & Stam, E. V., 2021, ASC PI Meeting.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • SciPy 1.0: fundamental algorithms for scientific computing in Python

      Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson, A. R. J., Jones, E., Kern, R., Larson, E. & Carey, C. J. & 30 others, Polat, İ., Feng, Y., Moore, E. W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E. A., Harris, C. R., Archibald, A. M., Ribeiro, A. H., Pedregosa, F., van Mulbregt, P., Vijaykumar, A., Bardelli, A. P., Rothberg, A., Hilboll, A., Kloeckner, A., Scopatz, A., Lee, A., Rokem, A., Woods, C. N., Fulton, C., Masson, C., Häggström, C., Fitzgerald, C., Nicholson, D. A., Hagen, D. R. & Pasechnik, D. V., Mar 1 2020, In: Nature Methods. 17, 3, p. 261-272 12 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      33349 Scopus citations
    View all 14 Research outputs