Computaitonal_Methods_Header

Computational Methods Development

Faculty:

Research Themes: 

  • Multi-physics coupling with application to reactors and high-energy density physics
  • Transport discretization and solution schemes, parallelization
  • Shock hydrodynamics methods
  • Adaptive-mesh transport and diffusion
  • Uncertainty quantification applied to transport and nuclear reliability

Accomplishments:

  • Demonstrated an exponentially-convergent Monte Carlo algorithm for a continuum transport system
  • Developed and implemented a massively-parallel long-characteristic transport method
  • Pioneered adaptive mesh refinement techniques for transport solvers
  • Engineered a tightly coupled multi-physics software platform
  • Devised robust and accurate spherical harmonics methods for time-dependent transport

Total Research Expenditures FY16: Over $3.3 million