The COMSOL Multiphysics engineering simulation software environment facilitates all steps in the modeling process − defining your geometry, meshing, specifying your physics, solving, and then visualizing your results.Model set-up is quick, thanks to a number of predefined physics interfaces for applications ranging from fluid flow and heat transfer to structural mechanics and electromagnetic analyses. Material properties, source terms and boundary conditions can all be arbitrary functions of the dependent variables.Predefined multiphysics-application templates solve many common problem types. You also have the option of choosing different physics and defining the interdependencies yourself. Or you can specify your own partial differential equations (PDEs) and link them with other equations and physics.

References in zbMATH (referenced in 180 articles )

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  1. Chen, Hongtao; Zhang, Zhimin; Zou, Qingsong: A recovery based linear finite element method for 1D bi-harmonic problems (2016)
  2. Cooper, Laura J.; Heppell, James P.; Clough, Geraldine F.; Ganapathisubramani, Bharathram; Roose, Tiina: An image-based model of fluid flow through lymph nodes (2016)
  3. Edsberg, Lennart: Introduction to computation and modeling for differential equations (2016)
  4. Gazonas, George A.; Wildman, Raymond A.; Hopkins, David A.; Scheidler, Michael J.: Longitudinal impact of piezoelectric media (2016)
  5. Guo, Hailong; Zhang, Zhimin; Zhao, Ren; Zou, Qingsong: Polynomial preserving recovery on boundary (2016)
  6. Harbrecht, Helmut; Loos, Florian: Optimization of current carrying multicables (2016)
  7. Khodabocus, M.I.; Sellier, M.; Nock, V.: Slug self-propulsion in a capillary tube mathematical modeling and numerical simulation (2016)
  8. Mittal, A.; Chen, X.; Tong, A.H.; Iaccarino, G.: A flexible uncertainty propagation framework for general multiphysics systems (2016)
  9. Mudunuru, M.K.; Nakshatrala, K.B.: On enforcing maximum principles and achieving element-wise species balance for advection-diffusion-reaction equations under the finite element method (2016)
  10. Pennestrì, Ettore; Rossi, Valerio; Salvini, Pietro; Valentini, Pier Paolo: Review and comparison of dry friction force models (2016)
  11. Skote, Martin; Ibrahim, Imran Halimi: Utilizing the L-PSJA for controlling cylindrical wake flow (2016)
  12. Vachagina, E.K.; Kadyirov, A.I.; Kainova, A.A.; Khalitova, G.R.: Viscoelastic fluid flow in a prismatic channel of square cross-section with reference to the example of rubber mixtures (2016)
  13. Wu, John Z.; Herzog, Walter; Federico, Salvatore: Finite element modeling of finite deformable, biphasic biological tissues with transversely isotropic statistically distributed fibers: toward a practical solution (2016)
  14. Zozulya, V.V.; Saez, A.: A high-order theory of a thermoelastic beams and its application to the MEMS/NEMS analysis and simulations (2016)
  15. Díaz, Jesús Ildefonso; Gómez-Castro, David: An application of shape differentiation to the effectiveness of a steady state reaction-diffusion problem arising in chemical engineering (2015)
  16. Khan, Farid; Razzaq, Shadman: Electrodynamic energy harvester for electrical transformer’s temperature monitoring system (2015)
  17. Knupp, Diego C.; Naveira-Cotta, Carolina Palma; Renfer, Adrian; Tiwari, Manish K.; Cotta, Renato M.; Poulikakos, Dimos: Analysis of conjugated heat transfer in micro-heat exchangers via integral transforms and non-intrusive optical techniques (2015)
  18. Kuzmin, Dmitri; Hämäläinen, Jari: Finite element methods for computational fluid dynamics. A practical guide (2015)
  19. Levy, Chris; Iron, David: Dynamics and stability of a three-dimensional model of cell signal transduction with delay (2015)
  20. Orava, Vít; Souček, Ondřej; Cendula, Peter: Multi-phase modeling of non-isothermal reactive flow in fluidized bed reactors (2015)

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