Gmsh is a 3D finite element grid generator with a build-in CAD engine and post-processor. Its design goal is to provide a fast, light and user-friendly meshing tool with parametric input and advanced visualization capabilities. Gmsh is built around four modules: geometry, mesh, solver and post-processing. The specification of any input to these modules is done either interactively using the graphical user interface or in ASCII text files using Gmsh’s own scripting language.

References in zbMATH (referenced in 362 articles , 1 standard article )

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  1. Feng, Xinzeng; Hormuth, David A. II; Yankeelov, Thomas E.: An adjoint-based method for a linear mechanically-coupled tumor model: application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imaging (2019)
  2. Gori, Lapo; Silva Penna, Samuel; da Silva Pitangueira, Roque Luiz: G-space theory and weakened-weak form for micropolar media: application to smoothed point interpolation methods (2019)
  3. Lathouwers, Danny; Perkó, Zoltán: An angular multigrid preconditioner for the radiation transport equation with Fokker-Planck scattering (2019)
  4. Paipuri, Mahendra; Tiago, Carlos; Fernández-Méndez, Sonia: Coupling of continuous and hybridizable discontinuous Galerkin methods: application to conjugate heat transfer problem (2019)
  5. Paludetto Magri, Victor A.; Franceschini, Andrea; Janna, Carlo: A novel algebraic multigrid approach based on adaptive smoothing and prolongation for ill-conditioned systems (2019)
  6. Printsypar, G.; Bruna, M.; Griffiths, Ian M.: The influence of porous-medium microstructure on filtration (2019)
  7. Rabault, Jean; Kuchta, Miroslav; Jensen, Atle; Réglade, Ulysse; Cerardi, Nicolas: Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control (2019)
  8. Zouache, Moussa A.; Eames, I.; Klettner, C. A.; Luthert, P. J.: Flow and passive transport in planar multipolar flows (2019)
  9. Alkämper, Martin; Gaspoz, Fernando; Klöfkorn, Robert: A weak compatibility condition for newest vertex bisection in any dimension (2018)
  10. Alonso-Rodríguez, A.; Camaño, J.; Rodríguez, R.; Valli, A.; Venegas, P.: Finite element approximation of the spectrum of the curl operator in a multiply connected domain (2018)
  11. Alonso Rodríguez, Ana; Bertolazzi, Enrico; Ghiloni, Riccardo; Specogna, Ruben: Efficient construction of 2-chains representing a basis of (H_2(\overline\Omega, \partial\Omega; \mathbbZ)) (2018)
  12. Alouges, Francois; Aussal, Matthieu; Parolin, Emile: FEM-BEM coupling for electromagnetism with the sparse cardinal sine decomposition (2018)
  13. Alzetta, Giovanni; Arndt, Daniel; Bangerth, Wolfgang; Boddu, Vishal; Brands, Benjamin; Davydov, Denis; Gassmöller, Rene; Heister, Timo; Heltai, Luca; Kormann, Katharina; Kronbichler, Martin; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, version 9.0 (2018)
  14. Averkin, Sergey N.; Gatsonis, Nikolaos A.: A parallel electrostatic particle-in-cell method on unstructured tetrahedral grids for large-scale bounded collisionless plasma simulations (2018)
  15. Badwaik, Jayesh; Boileau, Matthieu; Coulette, David; Franck, Emmanuel; Helluy, Philippe; Klingenberg, Christian; Mendoza, Laura; Oberlin, Herbert: Task-based parallelization of an implicit kinetic scheme (2018)
  16. Breckling, Sean; Neda, Monika; Pahlevani, Fran: A sensitivity study of the Navier-Stokes-(\alpha) model (2018)
  17. Caboussat, Alexandre; Glowinski, Roland; Gourzoulidis, Dimitrios: A least-squares/relaxation method for the numerical solution of the three-dimensional elliptic Monge-Ampère equation (2018)
  18. Chaudhry, Jehanzeb H.; Burch, Nathanial; Estep, Donald: Efficient distribution estimation and uncertainty quantification for elliptic problems on domains with stochastic boundaries (2018)
  19. Colin, Thierry; Dechristé, Guillaume; Fehrenbach, Jérôme; Guillaume, Ludivine; Lobjois, Valérie; Poignard, Clair: Experimental estimation of stored stress within spherical microtissues, what can and cannot be inferred from cutting experiments (2018)
  20. Creech, Angus C. W.; Jackson, Adrian; Maddison, James R.: Adapting and optimising fluidity for high-fidelity coastal modelling (2018)

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