The program package FEATFLOW is both a user oriented as well as a general purpose subroutine system for the numerical solution of the incompressible Navier-Stokes equations in two and three space dimensions. FEATFLOW is part of the TUFES project (’The Ultimate Finite Element Software’) that aims to develop software which realizes our new mathematical and algorithmical ideas in combination with high performance computational techniques. FEATFLOW is designed for the following three classes of applications: Education of students, scientific research and industrial application

References in zbMATH (referenced in 197 articles )

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  1. E. Alinovi, J. Guerrero: FLUBIO -An unstructured, parallel, finite-volume based Navier–Stokes and convection-diffusion like equations solver for teaching and research purposes (2021) not zbMATH
  2. El Akkad, Abdeslam; Elkhalfi, Ahmed: Analysis of estimators for Stokes problem using a mixed approximation (2021)
  3. Farrell, Patrick E.; Mitchell, Lawrence; Scott, L. Ridgway; Wechsung, Florian: A Reynolds-robust preconditioner for the Scott-Vogelius discretization of the stationary incompressible Navier-Stokes equations (2021)
  4. N’Guessan, Marc-Arthur; Massot, Marc; Séries, Laurent; Tenaud, Christian: High order time integration and mesh adaptation with error control for incompressible Navier-Stokes and scalar transport resolution on dual grids (2021)
  5. Čapek, Marek: A phase-field method applied to interface tracking for blood clot formation. (2020)
  6. Demidov, D.; Rossi, R.: Subdomain deflation combined with local AMG: a case study using AMGCL library (2020)
  7. Giussani, Filippo; Piscaglia, F.; Saez-Mischlich, G.; Hèlie, J.: A three-phase VOF solver for the simulation of in-nozzle cavitation effects on liquid atomization (2020)
  8. Grave, Malú; Camata, José J.; Coutinho, Alvaro L. G. A.: A new convected level-set method for gas bubble dynamics (2020)
  9. Ju, Guoliang; Cai, Mingchao; Li, Jingzhi; Tian, Jing: Parameter-robust multiphysics algorithms for Biot model with application in brain edema simulation (2020)
  10. Liu, Ju; Yang, Weiguang; Dong, Melody; Marsden, Alison L.: The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations (2020)
  11. Altmann, Robert; Heiland, J.: Continuous, semi-discrete, and fully discretised Navier-Stokes equations (2019)
  12. Charnyi, Sergey; Heister, Timo; Olshanskii, Maxim A.; Rebholz, Leo G.: Efficient discretizations for the EMAC formulation of the incompressible Navier-Stokes equations (2019)
  13. Claus, Susanne; Kerfriden, Pierre: A CutFEM method for two-phase flow problems (2019)
  14. Dal Santo, Niccolo; Deparis, S.; Manzoni, A.; Quarteroni, A.: Multi space reduced basis preconditioners for parametrized Stokes equations (2019)
  15. Dal Santo, Niccolò; Manzoni, Andrea: Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape (2019)
  16. Deparis, Simone; Deville, Michel O.; Menghini, Filippo; Pegolotti, Luca; Quarteroni, Alfio: Application of the rosenbrock methods to the solution of unsteady 3D incompressible Navier-Stokes equations (2019)
  17. Ebna Hai, Bhuiyan Shameem Mahmood; Bause, Markus; Kuberry, Paul Allen: Modeling concept and numerical simulation of ultrasonic wave propagation in a moving fluid-structure domain based on a monolithic approach (2019)
  18. Farrell, Patrick E.; Mitchell, Lawrence; Wechsung, Florian: An augmented Lagrangian preconditioner for the 3D stationary incompressible Navier-Stokes equations at High Reynolds number (2019)
  19. Lederer, Philip L.; Lehrenfeld, Christoph; Schöberl, Joachim: Hybrid discontinuous Galerkin methods with relaxed (2019)
  20. Liu, Ju; Marsden, Alison L.: A robust and efficient iterative method for hyper-elastodynamics with nested block preconditioning (2019)

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