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 857 articles , 2 standard articles )

Showing results 1 to 20 of 857.
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  1. Ali, Baharin; Heider, Yousef; Markert, Bernd: Residual stresses in gas tungsten arc welding: a novel phase-field thermo-elastoplasticity modeling and parameter treatment framework (2022)
  2. Ammosov, D. A.; Grigorev, A. V.; Malysheva, N. V.; Zamorshchikova, L. S.: Numerical modeling two natural languages interaction (2022)
  3. Ammosov, Dmitry; Efendiev, Yalchin; Grekova, Elena; Vasilyeva, Maria: Generalized macroscale model for Cosserat elasticity using generalized multiscale finite element method (2022)
  4. Ammosov, Dmitry; Vasilyeva, Maria; Chung, Eric T.: Generalized multiscale finite element method for thermoporoelasticity problems in heterogeneous and fractured media (2022)
  5. Ammosov, Dmitry; Vasilyeva, Maria; Nasedkin, Andrey; Efendiev, Yalchin: Generalized multiscale finite element method for piezoelectric problem in heterogeneous media (2022)
  6. Arbogast, Todd; Tao, Zhen; Wang, Chuning: Direct serendipity and mixed finite elements on convex quadrilaterals (2022)
  7. Atallah, Nabil M.; Canuto, Claudio; Scovazzi, Guglielmo: The high-order shifted boundary method and its analysis (2022)
  8. Ba, Yuming; de Wiljes, Jana; Oliver, Dean S.; Reich, Sebastian: Randomized maximum likelihood based posterior sampling (2022)
  9. Benner, Peter; Heiland, Jan; Werner, Steffen W. R.: Robust output-feedback stabilization for incompressible flows using low-dimensional (\mathcalH_\infty)-controllers (2022)
  10. Bermúdez, A.; López-Rodríguez, B.; Pena, F. J.; Rodríguez, R.; Salgado, P.; Venegas, P.: Numerical solution of an axisymmetric eddy current model with current and voltage excitations (2022)
  11. Brinkerhoff, Douglas J.: Variational inference at glacier scale (2022)
  12. Burman, Erik; Frei, Stefan; Massing, Andre: Eulerian time-stepping schemes for the non-stationary Stokes equations on time-dependent domains (2022)
  13. Burman, Erik; Nechita, Mihai; Oksanen, Lauri: A stabilized finite element method for inverse problems subject to the convection-diffusion equation. II: Convection-dominated regime (2022)
  14. Cao, Lianghao; Ghattas, Omar; Oden, J. Tinsley: A globally convergent modified Newton method for the direct minimization of the Ohta-Kawasaki energy with application to the directed self-assembly of diblock copolymers (2022)
  15. Casado-Díaz, Juan; Conca, Carlos; Vásquez-Varas, Donato: Minimization of the P-Laplacian first eigenvalue for a two-phase material (2022)
  16. Cesana, Pierluigi; León Baldelli, Andrés A.: Gamma-convergence results for nematic elastomer bilayers: relaxation and actuation (2022)
  17. Croci, Matteo; de Souza, Giacomo Rosilho: Mixed-precision explicit stabilized Runge-Kutta methods for single- and multi-scale differential equations (2022)
  18. Dedner, Andreas; Klöfkorn, Robert: Extendible and efficient Python framework for solving evolution equations with stabilized discontinuous Galerkin methods (2022)
  19. De, Subhayan; Doostan, Alireza: Neural network training using (\ell_1)-regularization and bi-fidelity data (2022)
  20. Diehl, Patrick; Lipton, Robert; Wick, Thomas; Tyagi, Mayank: A comparative review of peridynamics and phase-field models for engineering fracture mechanics (2022)

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