Chombo

Chombo - Software for Adaptive Solutions of Partial Differential Equations. Chombo provides a set of tools for implementing finite difference methods for the solution of partial differential equations on block-structured adaptively refined rectangular grids. Both elliptic and time-dependent modules are included. Chombo supports calculations in complex geometries with both embedded boundaries and mapped grids, and Chombo also supports particle methods. Most parallel platforms are supported, and cross-platform self-describing file formats are included. The Chombo package is a product of the community of collaborators working with the Applied Numerical Algorithms Group (ANAG), part of the Computational Research Division at LBNL. Chombo is a Swahili word meaning ”tool” or ”container”.


References in zbMATH (referenced in 69 articles , 1 standard article )

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  1. Angus, Justin Ray; Link, Anthony; Friedman, Alex; Ghosh, Debojyoti; Johnson, Jamal David: On numerical energy conservation for an implicit particle-in-cell method coupled with a binary Monte-Carlo algorithm for Coulomb collisions (2022)
  2. Belov, A. A.; Dombrovskaya, Zh. O.: Highly accurate methods for solving one-dimensional Maxwell equations in stratified media (2022)
  3. Freret, Lucie; Williamschen, Michael; Groth, Clinton P. T.: Enhanced anisotropic block-based adaptive mesh refinement for three-dimensional inviscid and viscous compressible flows (2022)
  4. Liu, Zhengliang; Tian, Fang-Bao; Feng, Xingya: An efficient geometry-adaptive mesh refinement framework and its application in the immersed boundary lattice Boltzmann method (2022)
  5. Zeng, Yadong; Xuan, Anqing; Blaschke, Johannes; Shen, Lian: A parallel cell-centered adaptive level set framework for efficient simulation of two-phase flows with subcycling and non-subcycling (2022)
  6. Belov, A. A.; Dombrovskaya, Zh. O.; Bogolyubov, A. N.: A bicompact scheme and spectral decomposition method for difference solution of Maxwell’s equations in layered media (2021)
  7. Molins, Sergi; Soulaine, Cyprien; Prasianakis, Nikolaos I.; Abbasi, Aida; Poncet, Philippe; Ladd, Anthony J. C.; Starchenko, Vitalii; Roman, Sophie; Trebotich, David; Tchelepi, Hamdi A.; Steefel, Carl I.: Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: review of approaches and benchmark problem set (2021)
  8. Saxena, Gaurav; Ponce-de-Leon, Miguel; Montagud, Arnau; Vicente Dorca, David; Valencia, Alfonso: BioFVM-X: an MPI+OpenMP 3-D simulator for biological systems (2021)
  9. Köstler, Harald; Heisig, Marco; Kohl, Nils; Kuckuk, Sebastian; Bauer, Martin; Rüde, Ulrich: Code generation approaches for parallel geometric multigrid solvers (2020)
  10. Offermans, N.; Peplinski, A.; Marin, O.; Schlatter, P.: Adaptive mesh refinement for steady flows in Nek5000 (2020)
  11. Owen, L. D.; Gao, X.; Guzik, S. M.: Techniques for improving monotonicity in a fourth-order finite-volume algorithm solving shocks and detonations (2020)
  12. Freret, L.; Ivan, L.; De Sterck, H.; Groth, C. P. T.: High-order finite-volume method with block-based AMR for magnetohydrodynamics flows (2019)
  13. Ghosh, D.; Chapman, T. D.; Berger, R. L.; Dimits, A.; Banks, J. W.: A multispecies, multifluid model for laser-induced counterstreaming plasma simulations (2019)
  14. Giuliani, Andrew; Krivodonova, Lilia: Adaptive mesh refinement on graphics processing units for applications in gas dynamics (2019)
  15. Marskar, Robert: An adaptive Cartesian embedded boundary approach for fluid simulations of two- and three-dimensional low temperature plasma filaments in complex geometries (2019)
  16. Muia, Francesco; Cicoli, Michele; Clough, Katy; Pedro, Francisco; Quevedo, Fernando; Vacca, Gian Paolo: The fate of dense scalar stars (2019)
  17. Pederson, Dylan M.; Raja, Laxminarayan L.: A stable finite-difference time-domain scheme for local time-stepping on an adaptive mesh (2019)
  18. Schmidmayer, Kevin; Petitpas, Fabien; Daniel, Eric: Adaptive mesh refinement algorithm based on dual trees for cells and faces for multiphase compressible flows (2019)
  19. Weinzierl, Tobias: The Peano software -- parallel, automaton-based, dynamically adaptive grid traversals (2019)
  20. Zou, Liyong; Al-Marouf, Mahamad; Cheng, Wan; Samtaney, Ravi; Ding, Juchun; Luo, Xisheng: Richtmyer-Meshkov instability of an unperturbed interface subjected to a diffracted convergent shock (2019)

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