The FEniCS Project is a collaborative project for the development of innovative concepts and tools for automated scientific computing, with a particular focus on automated solution of differential equations by finite element methods. FEniCS has an extensive list of features for automated, efficient solution of differential equations, including automated solution of variational problems, automated error control and adaptivity, a comprehensive library of finite elements, high performance linear algebra and many more.

References in zbMATH (referenced in 391 articles , 2 standard articles )

Showing results 1 to 20 of 391.
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  1. Brewster, Jack; Juniper, Matthew P.: Shape sensitivity of eigenvalues in hydrodynamic stability, with physical interpretation for the flow around a cylinder (2020)
  2. DeCaria, Victor; Iliescu, Traian; Layton, William; McLaughlin, Michael; Schneier, Michael: An artificial compression reduced order model (2020)
  3. Evcin, Cansu; Uğur, Ömür; Tezer-Sezgin, Münevver: Controlling the power-law fluid flow and heat transfer under the external magnetic field using the flow index and the Hartmann number (2020)
  4. Landet, Tormod; Mardal, Kent-Andre; Mortensen, Mikael: Slope limiting the velocity field in a discontinuous Galerkin divergence-free two-phase flow solver (2020)
  5. Lanzendörfer, M.; Hron, J.: On multiple solutions to the steady flow of incompressible fluids subject to do-nothing or constant traction boundary conditions on artificial boundaries (2020)
  6. Murray, Ryan; Young, Glenn: Neutral competition in a deterministically changing environment: revisiting continuum approaches (2020)
  7. Nguyen-Thanh, Vien Minh; Zhuang, Xiaoying; Rabczuk, Timon: A deep energy method for finite deformation hyperelasticity (2020)
  8. Reguly, István Z.; Mudalige, Gihan R.: Productivity, performance, and portability for computational fluid dynamics applications (2020)
  9. Stubblefield, Aaron G.; Spiegelman, Marc; Creyts, Timothy T.: Solitary waves in power-law deformable conduits with laminar or turbulent fluid flow (2020)
  10. Wan, Andy T. S.; Laforest, Marc: A posteriori error estimation for the p-curl problem (2020)
  11. Wathen, Michael; Greif, Chen: A scalable approximate inverse block preconditioner for an incompressible magnetohydrodynamics model problem (2020)
  12. Alyaev, Sergey; Keilegavlen, Eirik; Nordbotten, Jan M.: A heterogeneous multiscale MPFA method for single-phase flows in porous media with inertial effects (2019)
  13. Arregui, Iñigo; Cendán, J. Jesús; González, María: A local discontinuous Galerkin method for the compressible Reynolds lubrication equation (2019)
  14. Bartoš, Ondřej; Feistauer, Miloslav; Roskovec, Filip: On the effect of numerical integration in the finite element solution of an elliptic problem with a nonlinear Newton boundary condition. (2019)
  15. Benn, James; Marsland, Stephen; McLachlan, Robert I.; Modin, Klas; Verdier, Olivier: Currents and finite elements as tools for shape space (2019)
  16. Bertoglio, Cristóbal; Conca, Carlos; Nolte, David; Panasenko, Grigory; Pileckas, Konstantinas: Junction of models of different dimension for flows in tube structures by Womersley-type interface conditions (2019)
  17. Bürger, Raimund; Méndez, Paul E.; Ruiz-Baier, Ricardo: On (\boldsymbolH(\operatornamediv))-conforming methods for double-diffusion equations in porous media (2019)
  18. Burman, Erik; He, Cuiyu: Primal dual mixed finite element methods for indefinite advection-diffusion equations (2019)
  19. Chandrashekar, Praveen; Nkonga, Boniface; Bhole, Ashish: A discontinuous Galerkin method for a two dimensional reduced resistive MHD model (2019)
  20. Chen, Robin Ming; Layton, William; McLaughlin, Michael: Analysis of variable-step/non-autonomous artificial compression methods (2019)

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Further publications can be found at: http://fenicsproject.org/citing/