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 233 articles )

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  1. Gulian, Armen M.; Nikoghosyan, Vahan R.; Gulian, Ellen D.; Melkonyan, Gurgen G.: Quasi-local action of curl-less vector potential on vortex dynamics in superconductors (2018)
  2. De Vita, R.; Grange, R.; Nardinocchi, P.; Teresi, L.: Mathematical model for isometric and isotonic muscle contractions (2017)
  3. 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
  4. 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)
  5. Lu, Yanfei; Lekszycki, Tomasz: Modelling of bone fracture healing: influence of gap size and angiogenesis into bioresorbable bone substitute (2017)
  6. Marcsa, Dániel; Kuczmann, Miklós: Design and control for torque ripple reduction of a 3-phase switched reluctance motor (2017)
  7. Nieves, M.J.: Asymptotic analysis of solutions to transmission problems in solids with many inclusions (2017)
  8. Pepper, Darrell W.; Heinrich, Juan C.: The finite element method. Basic concepts and applications with MATLAB, MAPLE, and COMSOL (2017)
  9. Silva, Goncalo; Talon, Laurent; Ginzburg, Irina: Low- and high-order accurate boundary conditions: from Stokes to Darcy porous flow modeled with standard and improved Brinkman lattice Boltzmann schemes (2017)
  10. Yang, Yuecheng; Hu, Xiaoming: Optimal control using microscopic models for a pollutant elimination problem (2017)
  11. Bauer, S.M.; Voronkova, E.B.: On natural frequencies of transversely isotropic circular plates (2016)
  12. Bednarczyk, Ewa; Lekszycki, Tomasz: A novel mathematical model for growth of capillaries and nutrient supply with application to prediction of osteophyte onset (2016)
  13. Chen, Hongtao; Zhang, Zhimin; Zou, Qingsong: A recovery based linear finite element method for 1D bi-harmonic problems (2016)
  14. Cooper, Laura J.; Heppell, James P.; Clough, Geraldine F.; Ganapathisubramani, Bharathram; Roose, Tiina: An image-based model of fluid flow through lymph nodes (2016)
  15. Dai, Ming; Schiavone, Peter; Gao, Cun-Fa: Determination of effective thermal expansion coefficients of unidirectional fibrous nanocomposites (2016)
  16. Edsberg, Lennart: Introduction to computation and modeling for differential equations (2016)
  17. Gazonas, George A.; Wildman, Raymond A.; Hopkins, David A.; Scheidler, Michael J.: Longitudinal impact of piezoelectric media (2016)
  18. Guo, Hailong; Zhang, Zhimin; Zhao, Ren; Zou, Qingsong: Polynomial preserving recovery on boundary (2016)
  19. Harbrecht, Helmut; Loos, Florian: Optimization of current carrying multicables (2016)
  20. Kafi, Oualid; Sequeira, Adélia; Boujena, Soumaya: On the mathematical modeling of monocytes transmigration (2016)

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