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 212 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. Kafi, Oualid; El Khatib, Nader; Tiago, Jorge; Sequeira, Adélia: Numerical simulations of a 3D fluid-structure interaction model for blood flow in an atherosclerotic artery (2017)
  3. Lu, Yanfei; Lekszycki, Tomasz: Modelling of bone fracture healing: influence of gap size and angiogenesis into bioresorbable bone substitute (2017)
  4. Marcsa, Dániel; Kuczmann, Miklós: Design and control for torque ripple reduction of a 3-phase switched reluctance motor (2017)
  5. Pepper, Darrell W.; Heinrich, Juan C.: The finite element method. Basic concepts and applications with MATLAB, MAPLE, and COMSOL (2017)
  6. Bauer, S.M.; Voronkova, E.B.: On natural frequencies of transversely isotropic circular plates (2016)
  7. Bednarczyk, Ewa; Lekszycki, Tomasz: A novel mathematical model for growth of capillaries and nutrient supply with application to prediction of osteophyte onset (2016)
  8. Chen, Hongtao; Zhang, Zhimin; Zou, Qingsong: A recovery based linear finite element method for 1D bi-harmonic problems (2016)
  9. Cooper, Laura J.; Heppell, James P.; Clough, Geraldine F.; Ganapathisubramani, Bharathram; Roose, Tiina: An image-based model of fluid flow through lymph nodes (2016)
  10. Dai, Ming; Schiavone, Peter; Gao, Cun-Fa: Determination of effective thermal expansion coefficients of unidirectional fibrous nanocomposites (2016)
  11. Edsberg, Lennart: Introduction to computation and modeling for differential equations (2016)
  12. Gazonas, George A.; Wildman, Raymond A.; Hopkins, David A.; Scheidler, Michael J.: Longitudinal impact of piezoelectric media (2016)
  13. Guo, Hailong; Zhang, Zhimin; Zhao, Ren; Zou, Qingsong: Polynomial preserving recovery on boundary (2016)
  14. Harbrecht, Helmut; Loos, Florian: Optimization of current carrying multicables (2016)
  15. Kafi, Oualid; Sequeira, Adélia; Boujena, Soumaya: On the mathematical modeling of monocytes transmigration (2016)
  16. Khodabocus, M.I.; Sellier, M.; Nock, V.: Slug self-propulsion in a capillary tube mathematical modeling and numerical simulation (2016)
  17. 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)
  18. Mittal, A.; Chen, X.; Tong, A.H.; Iaccarino, G.: A flexible uncertainty propagation framework for general multiphysics systems (2016)
  19. 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)
  20. Nakshatrala, K.B.; Nagarajan, H.; Shabouei, M.: A numerical methodology for enforcing maximum principles and the non-negative constraint for transient diffusion equations (2016)

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