COMSOL

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 189 articles )

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  1. Hanqing Zhang, Tim Stangner, Krister Wiklund, Alvaro Rodriguez, Magnus Andersson: UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light microscopy or 3D digital holography data (2017) arXiv
  2. Pepper, Darrell W.; Heinrich, Juan C.: The finite element method. Basic concepts and applications with MATLAB, MAPLE, and COMSOL (2017)
  3. Bednarczyk, Ewa; Lekszycki, Tomasz: A novel mathematical model for growth of capillaries and nutrient supply with application to prediction of osteophyte onset (2016)
  4. Chen, Hongtao; Zhang, Zhimin; Zou, Qingsong: A recovery based linear finite element method for 1D bi-harmonic problems (2016)
  5. Cooper, Laura J.; Heppell, James P.; Clough, Geraldine F.; Ganapathisubramani, Bharathram; Roose, Tiina: An image-based model of fluid flow through lymph nodes (2016)
  6. Dai, Ming; Schiavone, Peter; Gao, Cun-Fa: Determination of effective thermal expansion coefficients of unidirectional fibrous nanocomposites (2016)
  7. Edsberg, Lennart: Introduction to computation and modeling for differential equations (2016)
  8. Gazonas, George A.; Wildman, Raymond A.; Hopkins, David A.; Scheidler, Michael J.: Longitudinal impact of piezoelectric media (2016)
  9. Guo, Hailong; Zhang, Zhimin; Zhao, Ren; Zou, Qingsong: Polynomial preserving recovery on boundary (2016)
  10. Harbrecht, Helmut; Loos, Florian: Optimization of current carrying multicables (2016)
  11. Khodabocus, M.I.; Sellier, M.; Nock, V.: Slug self-propulsion in a capillary tube mathematical modeling and numerical simulation (2016)
  12. Lu, Yanfei; Lekszycki, Tomasz: A novel coupled system of non-local integro-differential equations modelling Young’s modulus evolution, nutrients’ supply and consumption during bone fracture healing (2016)
  13. Mittal, A.; Chen, X.; Tong, A.H.; Iaccarino, G.: A flexible uncertainty propagation framework for general multiphysics systems (2016)
  14. 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)
  15. Nicholas A. Battista, W. Christopher Strickland, Laura A. Miller: IB2d: a Python and MATLAB implementation of the immersed boundary method (2016) arXiv
  16. Pennestrì, Ettore; Rossi, Valerio; Salvini, Pietro; Valentini, Pier Paolo: Review and comparison of dry friction force models (2016)
  17. Skote, Martin; Ibrahim, Imran Halimi: Utilizing the L-PSJA for controlling cylindrical wake flow (2016)
  18. 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)
  19. 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)
  20. Zozulya, V.V.; Saez, A.: A high-order theory of a thermoelastic beams and its application to the MEMS/NEMS analysis and simulations (2016) ioport

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