KULL

Kull is a massively parallel simulation code developed to model high energy density physics applications. Kull can be steered using the Python programming language but its computational kernels are written predominantly in C++.

Keywords for this software

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References in zbMATH (referenced in 8 articles )

Showing results 1 to 8 of 8.
Sorted by year (citations)

  1. Starinshak, D. P.; Owen, J. M.: A multimaterial extension to subzonal reconstruction (2016)
  2. Starinshak, D. P.; Owen, J. M.: A subzone reconstruction algorithm for efficient staggered compatible remapping (2015)
  3. Kucharik, Milan; Shashkov, Mikhail: Conservative multi-material remap for staggered multi-material arbitrary Lagrangian-Eulerian methods (2014)
  4. Owen, J. Michael; Shashkov, Mikhail: Arbitrary Lagrangian eulerian remap treatments consistent with staggered compatible total energy conserving Lagrangian methods (2014)
  5. Waltz, J.; Morgan, N. R.; Canfield, T. R.; Charest, M. R. J.; Risinger, L. D.; Wohlbier, J. G.: A three-dimensional finite element arbitrary Lagrangian-Eulerian method for shock hydrodynamics on unstructured grids (2014)
  6. Waltz, Jacob: Operator splitting and time accuracy in Lagrange plus remap solution methods (2013)
  7. Kucharik, Milan; Shashkov, Mikhail: One-step hybrid remapping algorithm for multi-material arbitrary Lagrangian-Eulerian methods (2012)
  8. Berndt, Markus; Breil, Jérôme; Galera, Stéphane; Kucharik, Milan; Maire, Pierre-Henri; Shashkov, Mikhail: Two-step hybrid conservative remapping for multimaterial arbitrary Lagrangian-Eulerian methods (2011)