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 325 articles , 1 standard article )

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  1. 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)
  2. Colin, Thierry; Dechristé, Guillaume; Fehrenbach, Jér^ome; Guillaume, Ludivine; Lobjois, Valérie; Poignard, Clair: Experimental estimation of stored stress within spherical microtissues, What can and cannot be inferred from cutting experiments (2018)
  3. Creech, Angus C. W.; Jackson, Adrian; Maddison, James R.: Adapting and optimising fluidity for high-fidelity coastal modelling (2018)
  4. Hennink, Aldo; Lathouwers, Danny: A discontinuous Galerkin method for the mono-energetic Fokker-Planck equation based on a spherical interior penalty formulation (2018)
  5. Homsi, Lina; Noels, Ludovic: A discontinuous Galerkin method for non-linear electro-thermo-mechanical problems: application to shape memory composite materials (2018)
  6. Joshi, Vaibhav; Jaiman, Rajeev K.: A positivity preserving and conservative variational scheme for phase-field modeling of two-phase flows (2018)
  7. Kashefi, Ali; Staples, Anne E.: A finite-element coarse-grid projection method for incompressible flow simulations (2018)
  8. Liu, Xiaodong; Xia, Yidong; Luo, Hong: A reconstructed discontinuous Galerkin method for compressible turbulent flows on 3D curved grids (2018)
  9. Li, Wanai; Pan, Jianhua; Ren, Yu-Xin: The discontinuous Galerkin spectral element methods for compressible flows on two-dimensional mixed grids (2018)
  10. Meng, Liang; Breitkopf, Piotr; Le Quilliec, Guénhaël; Raghavan, Balaji; Villon, Pierre: Nonlinear shape-manifold learning approach: concepts, tools and applications (2018)
  11. Morgan, Hannah; Scott, L. Ridgway: Towards a unified finite element method for the Stokes equations (2018)
  12. Narendran, K.; Guan, M. Z.; Ma, P. F.; Choudhary, A.; Hussain, A. A.; Jaiman, R. K.: Control of vortex-induced motion in multi-column offshore platform by near-wake jets (2018)
  13. Paganini, Alberto; Wechsung, Florian; Farrell, Patrick E.: Higher-order moving mesh methods for PDE-constrained shape optimization (2018)
  14. P. Cardiff, A. Karač, P. De Jaeger, H. Jasak, J. Nagy, A. Ivanković, Ž. Tuković: An open-source finite volume toolbox for solid mechanics and fluid-solid interaction simulations (2018) arXiv
  15. Poblet-Puig, Jordi; Shanin, Andrey V.: A boundary algebraic formulation for plane strain elastodynamic scattering (2018)
  16. Sarna, Neeraj; Torrilhon, Manuel: Entropy stable Hermite approximation of the linearised Boltzmann equation for inflow and outflow boundaries (2018)
  17. Shankar, Varun; Kirby, Robert M.; Fogelson, Aaron L.: Robust node generation for mesh-free discretizations on irregular domains and surfaces (2018)
  18. Siebenborn, Martin: A shape optimization algorithm for interface identification allowing topological changes (2018)
  19. Stoykov, S.: Buckling analysis of geometrically nonlinear curved beams (2018)
  20. Zhang, Ting; Peng, Ling; Feng, Ping: Evaluation of a 3D unstructured-mesh finite element model for dam-break floods (2018)

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