X Computational Physics

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

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).