Gmsh

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 548 articles , 1 standard article )

Showing results 1 to 20 of 548.
Sorted by year (citations)

1 2 3 ... 26 27 28 next

  1. Antil, Harbir; Verma, Deepanshu; Warma, Mahamadi: External optimal control of fractional parabolic PDEs (2020)
  2. Aylwin, Ruben; Jerez-Hanckes, Carlos; Schwab, Christoph; Zech, Jakob: Domain uncertainty quantification in computational electromagnetics (2020)
  3. Beaufort, Pierre-Alexandre; Geuzaine, Christophe; Remacle, Jean-François: Automatic surface mesh generation for discrete models -- a complete and automatic pipeline based on reparametrization (2020)
  4. Brewster, Jack; Juniper, Matthew P.: Shape sensitivity of eigenvalues in hydrodynamic stability, with physical interpretation for the flow around a cylinder (2020)
  5. Bürger, Raimund; Méndez, Paul E.; Ruiz-Baier, Ricardo: Convergence of H(div)-conforming schemes for a new model of sedimentation in circular clarifiers with a rotating rake (2020)
  6. Casati, Daniele; Hiptmair, Ralf: Coupling FEM with a multiple-subdomain Trefftz method (2020)
  7. Chatterjee, Tanmoy; Adhikari, Sondipon; Friswell, Michael I.: Uncertainty propagation in dynamic sub-structuring by model reduction integrated domain decomposition (2020)
  8. Cheng, M.; Fang, F.; Pain, C. C.; Navon, I. M.: Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network (2020)
  9. Colmenares, Eligio; Gatica, Gabriel N.; Moraga, Sebastián; Ruiz-Baier, Ricardo: A fully-mixed finite element method for the steady state Oberbeck-Boussinesq system (2020)
  10. Conte, Martina; Gerardo-Giorda, Luca; Groppi, Maria: Glioma invasion and its interplay with nervous tissue and therapy: a multiscale model (2020)
  11. da Silva, Gustavo Assis; Beck, André Teófilo; Sigmund, Ole: Topology optimization of compliant mechanisms considering stress constraints, manufacturing uncertainty and geometric nonlinearity (2020)
  12. Degen, Denise; Veroy, Karen; Wellmann, Florian: Certified reduced basis method in geosciences. Addressing the challenge of high-dimensional problems (2020)
  13. de Souza Lourenço, Marcos Antonio; Martínez Padilla, Elie Luis: An octree structured finite volume based solver (2020)
  14. Dorian Depriester; Régis Kubler: MTEX2Gmsh: a tool for generating 2D meshes from EBSD data (2020) not zbMATH
  15. Dutra do Carmo, E. G.; Leal, R. M. T.; Mansur, W. J.: A new scheme to obtain pollution-free solution for plane waves and to generate a continuous Petrov-Galerkin method for the Helmholtz problem (2020)
  16. El-Guide, Mohamed; Miȩdlar, Agnieszka; Saad, Yousef: A rational approximation method for solving acoustic nonlinear eigenvalue problems (2020)
  17. Farrell, Patrick E.; Gazca-Orozco, P. A.; Süli, Endre: Numerical analysis of unsteady implicitly constituted incompressible fluids: 3-field formulation (2020)
  18. Fausty, Julien; Bozzolo, Nathalie; Bernacki, Marc: A 2D level set finite element grain coarsening study with heterogeneous grain boundary energies (2020)
  19. Ferrero, Andrea; Iollo, Angelo; Larocca, Francesco: Field inversion for data-augmented RANS modelling in turbomachinery flows (2020)
  20. Genoese, Alessandra; Genoese, Andrea; Salerno, Ginevra: Buckling and post-buckling analysis of single wall carbon nanotubes using molecular mechanics (2020)

1 2 3 ... 26 27 28 next