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 285 articles , 2 standard articles )

Showing results 1 to 20 of 285.
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  1. Crestel, Benjamin; Stadler, Georg; Ghattas, Omar: A comparative study of structural similarity and regularization for joint inverse problems governed by pdes (2019)
  2. Lee-Thorp, J. P.; Weinstein, M. I.; Zhu, Y.: Elliptic operators with honeycomb symmetry: Dirac points, edge states and applications to photonic graphene (2019)
  3. Li, Jiao; Ying, Jinyong; Xie, Dexuan: On the analysis and application of an ion size-modified Poisson-Boltzmann equation (2019)
  4. Miguel A.Rodriguez; Christoph M. Augustin; Shawn C.Shadden: FEniCS mechanics: A package for continuum mechanics simulations (2019) not zbMATH
  5. Printsypar, G.; Bruna, M.; Griffiths, Ian M.: The influence of porous-medium microstructure on filtration (2019)
  6. Šišková, K.; Slodička, M.: Identification of a source in a fractional wave equation from a boundary measurement (2019)
  7. Attia, Ahmed; Alexanderian, Alen; Saibaba, Arvind K.: Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems (2018)
  8. Badia, Santiago; Martín, Alberto F.; Principe, Javier: FEMPAR: an object-oriented parallel finite element framework (2018)
  9. Bal, Guillaume; Hoffmann, Kristoffer; Knudsen, Kim: Propagation of singularities for linearised hybrid data impedance tomography (2018)
  10. Bänsch, E.; Karakatsani, F.; Makridakis, C. G.: A posteriori error estimates for fully discrete schemes for the time dependent Stokes problem (2018)
  11. Baumann, Manuel; Benner, Peter; Heiland, Jan: Space-time Galerkin POD with application in optimal control of semilinear partial differential equations (2018)
  12. Boon, Wietse M.; Nordbotten, Jan M.; Yotov, Ivan: Robust discretization of flow in fractured porous media (2018)
  13. Bousquet, Arthur; Hu, Xiaozhe; Metti, Maximilian S.; Xu, Jinchao: Newton solvers for drift-diffusion and electrokinetic equations (2018)
  14. Brenner, Susanne C.; Diegel, Amanda E.; Sung, Li-Yeng: A robust solver for a mixed finite element method for the Cahn-Hilliard equation (2018)
  15. Chang, Justin; Fabien, Maurice S.; Knepley, Matthew G.; Mills, Richard T.: Comparative study of finite element methods using the time-accuracy-size(TAS) spectrum analysis (2018)
  16. Chaudhry, Jehanzeb H.: A posteriori analysis and efficient refinement strategies for the Poisson-Boltzmann equation (2018)
  17. Chen, Tehuan; Xu, Chao; Ren, Zhigang: Computational optimal control of 1D colloid transport by solute gradients in dead-end micro-channels (2018)
  18. Clason, Christian; Do, Thi Bich Tram; Pörner, Frank: Error estimates for the approximation of multibang control problems (2018)
  19. Clason, Christian; Kruse, Florian; Kunisch, Karl: Total variation regularization of multi-material topology optimization (2018)
  20. Claus, Susanne; Bigot, Samuel; Kerfriden, Pierre: CutFEM method for Stefan-Signorini problems with application in pulsed laser ablation (2018)

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