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  • Developing multiphysics simulation codes to support national nuclear security applications

    Research in computational physics and the development of validated codes, models, and algorithms

    In X Computational Physics (XCP) we take advantage of some of the world's fastest and most advanced computing platforms running state-of-the-art simulation codes to study a variety of complex physics problems.

    Research and Capabilities

    • Modeling and Simulation
    • Computational Methods, Algorithms, and Physical Models
    • Monte Carlo Methods, Codes, and Applications
    • Nuclear Data Science and Engineering
    • Computational Fluid and Solid Dynamics
    • Atomic and Plasma Physics
    • Materials Modeling under Extreme Conditions
    • Plasma Theory and Applications
    • Multiphysics Verification, Validation, and Uncertainty Quantification

    Programs Supported

    Science Programs

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    Advanced Simulation and Computing Program (ASC)

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    Laboratory Directed Research and Development (LDRD)

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    In the News

    How a wildfire kicked up a 45,000-foot column of flames image

    How a wildfire kicked up a 45,000-foot column of flames

    The work of Jesse Canfield (XCP-4) on computational modeling of forest fires is being featured in the July issue of Popular Science.

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    Publications

    Charlie Starrett (XCP-5) describes a new advancement in orbital-free molecular dynamics in a recent issue of Physical Review E. Read all about "Thomas-Fermi simulations of dense plasmas without pseudopotentials" at https://journals.aps.org/pre/abstract/10.1103/PhysRevE.96.013206

    Brian Haines (XCP-2), Austin Yi (XCP-6), Rick Olson (XCP-6), and Paul Bradley (XCP-6), with co-authors, recently published a description of xRAGE ICF simulations driven by an x-ray flux source from HYDRA: "The effects of convergence ratio on the implosion behavior of DT layered inertial confinement fusion capsules", Physics of Plasmas 24 , 072709 (2017); doi: 10.1063/1.4993065

    Misha Shashkov (XCP-4) was recently a co-author on: "Convergence analysis of the mimetic finite difference method for elliptic problems with staggered discretizations of diffusion coefficients", by G. Manzini, K. Lipnikov, J. D. Moulton, M. Shashkov. SIAM Journal on Numerical Analysis (SINUM).

    Resources

    Leadership

    Headshot of Scott Doebling

    Scott Doebling

    Senior Director for Computational Physics

    Headshot of Kavita Nandakishore

    Kavita Nandakishore

    Staff Operations Manager

    Headshot of Jimmy Fung

    Jimmy Fung

    XCP-IPC - Integrated Physics Codes Director and ASC Integrated Codes (IC) Program Manager

    Headshot of DJ Luscher

    DJ Luscher

    XCP-PMMD - Physics Modelling, Methods and Data Director and ASC Physics & Engineering Models (PEM) Program Manager

    Headshot of Gowri Srinivasan

    Gowri Srinivasan

    XCP-PVA - Physics Validation and Application Director and ASC Verification & Validation (V&V) Program Manager

    Headshot of Rob Ward

    Rob Ward

    XCP-1 Group Leader

    Headshot of Brandon Smith

    Brandon Smith

    XCP-2 Group Leader

    Headshot of Jeremy Sweezy

    Jeremy Sweezy

    XCP-3 Group Leader

    Headshot of Angela Herring

    Angela Herring

    XCP-4 Group Leader

    Headshot of Abigail Hunter

    Abigail Hunter

    XCP-5 Group Leader

    Headshot of Paul Bradley

    Paul Bradley

    XCP-6 Group Leader

    Headshot of Brandon Wilson

    Brandon Wilson

    XCP-8 Group Leader