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 297 articles )

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  1. Dechaumphai, P.; Sucharitpwatsul, S.: Finite element analysis with COMSOL (2019)
  2. Gadeikytė, Aušra; Barauskas, Rimantas: Computer simulation of heat exchange through 3D fabric layer (2019)
  3. Hermanns, Miguel; Ibáñez, Santiago: Thermal response of slender geothermal boreholes to subannual harmonic excitations (2019)
  4. Jin, Yan; Chen, Kang Ping: Fundamental equations for primary fluid recovery from porous media (2019)
  5. Karsenty, Avi; Mandelbaum, Yaakov: Computer algebra challenges in nanotechnology: accurate modeling of nanoscale electro-optic devices using finite elements method (2019)
  6. Miguel A.Rodriguez; Christoph M. Augustin; Shawn C.Shadden: FEniCS mechanics: A package for continuum mechanics simulations (2019) not zbMATH
  7. Özgün, Özlem; Kuzuoğlu, Mustafa: MATLAB-based finite element programming in electromagnetic modeling (2019)
  8. Sanguinetti, Guido (ed.); Huynh-Thu, Vân Anh (ed.): Gene regulatory networks. Methods and protocols (2019)
  9. Sváček, Petr: On implementation aspects of finite element method and its application (2019)
  10. Abdelhamid, Talaat; Elsheikh, A. H.; Elazab, Ahmed; Sharshir, S. W.; Selima, Ehab S.; Jiang, Daijun: Simultaneous reconstruction of the time-dependent Robin coefficient and heat flux in heat conduction problems (2018)
  11. Alouges, François; Aussal, Matthieu: FEM and BEM simulations with the Gypsilab framework (2018)
  12. Alpak, F. Omer; Gray, F.; Saxena, N.; Dietderich, J.; Hofmann, R.; Berg, S.: A distributed parallel multiple-relaxation-time lattice Boltzmann method on general-purpose graphics processing units for the rapid and scalable computation of absolute permeability from high-resolution 3D micro-CT images (2018)
  13. Botti, Lorenzo; Di Pietro, Daniele A.: Assessment of hybrid high-order methods on curved meshes and comparison with discontinuous Galerkin methods (2018)
  14. Boujena, S.; Kafi, O.; Sequeira, A.: Mathematical study of a single leukocyte in microchannel flow (2018)
  15. Cheng, Jie; Zhang, Lucy T.: A general approach to derive stress and elasticity tensors for hyperelastic isotropic and anisotropic biomaterials (2018)
  16. Chen, Tao; Kang, Tong; Li, Jun: An (A)-(\phi) scheme for type-II superconductors (2018)
  17. Chen, Tehuan; Xu, Chao; Ren, Zhigang: Computational optimal control of 1D colloid transport by solute gradients in dead-end micro-channels (2018)
  18. Dogan, Hakan; Eisenmenger, Chris; Ochmann, Martin; Frank, Stefan: A LBIE-RBF solution to the convected wave equation for flow acoustics (2018)
  19. Dugast, Florian; Favennec, Yann; Josset, Christophe; Fan, Yilin; Luo, Lingai: Topology optimization of thermal fluid flows with an adjoint lattice Boltzmann method (2018)
  20. Dutta, Ashin; Gupta, Anoop K.; Mishra, Garima; Chhabra, R. P.: Effect of fluid yield stress and of angle of tilt on natural convection from a square bar in a square annulus (2018)

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