FLASH: An adaptive mesh hydrodynamics code for modeling astrophysical thermonuclear flashes. We report on the completion of the first version of a new-generation simulation code, FLASH. The FLASH code solves the fully compressible, reactive hydrodynamic equations and allows for the use of adaptive mesh refinement. It also contains state-of-the-art modules for the equations of state and thermonuclear reaction networks. The FLASH code was developed to study the problems of nuclear flashes on the surfaces of neutron stars and white dwarfs, as well as in the interior of white dwarfs. We expect, however, that the FLASH code will be useful for solving a wide variety of other problems. This first version of the code has been subjected to a large variety of test cases and is currently being used for production simulations of X-ray bursts, Rayleigh-Taylor and Richtmyer-Meshkov instabilities, and thermonuclear flame fronts. The FLASH code is portable and already runs on a wide variety of massively parallel machines, including some of the largest machines now extant.

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  1. Gomes, Anna Karina Fontes; Domingues, Margarete Oliveira; Mendes, Odim; Schneider, Kai: Adaptive two- and three-dimensional multiresolution computations of resistive magnetohydrodynamics (2021)
  2. Jean Sexton, Zarija Lukic, Ann Almgren, Chris Daley, Brian Friesen, Andrew Myers, Weiqun Zhang: Nyx: A Massively Parallel AMR Code for Computational Cosmology (2021) not zbMATH
  3. Keppens, Rony; Teunissen, Jannis; Xia, Chun; Porth, Oliver: \textttMPI-AMRVAC: a parallel, grid-adaptive PDE toolkit (2021)
  4. Matzner, C. D.; Ro, S.: On linear and nonlinear acoustics in stratified variable-area ducts and atmospheres and Lighthill’s proposition (2021)
  5. Duke-Walker, Vasco; Maxon, W. Curtis; Almuhna, Sahir R.; McFarland, Jacob A.: Evaporation and breakup effects in the shock-driven multiphase instability (2020)
  6. Offermans, N.; Peplinski, A.; Marin, O.; Schlatter, P.: Adaptive mesh refinement for steady flows in Nek5000 (2020)
  7. Li, Xiaoli; Rui, Hongxing: A block-centered finite difference method for the nonlinear Sobolev equation on nonuniform rectangular grids (2019)
  8. Reyes, Adam; Lee, Dongwook; Graziani, Carlo; Tzeferacos, Petros: A variable high-order shock-capturing finite difference method with GP-WENO (2019)
  9. Schmidmayer, Kevin; Petitpas, Fabien; Daniel, Eric: Adaptive mesh refinement algorithm based on dual trees for cells and faces for multiphase compressible flows (2019)
  10. Shadab, Mohammad Afzal; Balsara, Dinshaw; Shyy, Wei; Xu, Kun: Fifth order finite volume WENO in general orthogonally-curvilinear coordinates (2019)
  11. Derigs, Dominik; Gassner, Gregor J.; Walch, Stefanie; Winters, Andrew R.: Entropy stable finite volume approximations for ideal magnetohydrodynamics (2018)
  12. Li, Xiaoli; Rui, Hongxing; Liu, Zhengguang: A block-centered finite difference method for fractional Cattaneo equation (2018)
  13. Owen, L. D.; Guzik, S. M.; Gao, X.: A high-order adaptive algorithm for multispecies gaseous flows on mapped domains (2018)
  14. Schornbaum, Florian; Rüde, Ulrich: Extreme-scale block-structured adaptive mesh refinement (2018)
  15. Shiroto, Takashi; Kawai, Soshi; Ohnishi, Naofumi: Structure-preserving operators for thermal-nonequilibrium hydrodynamics (2018)
  16. Dahal, Jeevan; McFarland, Jacob A.: A numerical method for shock driven multiphase flow with evaporating particles (2017)
  17. Del Sarto, D.; Deriaz, E.: A multigrid AMR algorithm for the study of magnetic reconnection (2017)
  18. Einkemmer, Lukas; Tokman, Mayya; Loffeld, John: On the performance of exponential integrators for problems in magnetohydrodynamics (2017)
  19. Kidder, Lawrence E.; Field, Scott E.; Foucart, Francois; Schnetter, Erik; Teukolsky, Saul A.; Bohn, Andy; Deppe, Nils; Diener, Peter; Hébert, François; Lippuner, Jonas; Miller, Jonah; Ott, Christian D.; Scheel, Mark A.; Vincent, Trevor: SpECTRE: A task-based discontinuous Galerkin code for relativistic astrophysics (2017)
  20. Lee, Dongwook; Faller, Hugues; Reyes, Adam: The piecewise cubic method (PCM) for computational fluid dynamics (2017)

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