Ads
related to: multiphysics simulation ppt template slides powerpoint gratis designofficetimeline.com has been visited by 10K+ users in the past month
Search results
Results From The WOW.Com Content Network
In computational modelling, multiphysics simulation (often shortened to simply "multiphysics") is defined as the simultaneous simulation of different aspects of a physical system or systems and the interactions among them. [1] For example, simultaneous simulation of the physical stress on an object, the temperature distribution of the object ...
MOOSE (software) MOOSE (Multiphysics Object Oriented Simulation Environment) is an object-oriented C++ finite element framework for the development of tightly coupled multiphysics solvers from Idaho National Laboratory. [1] MOOSE makes use of the PETSc non-linear solver package and libmesh to provide the finite element discretization.
Comparison of EM simulation software. The following table lists software packages with their own article on Wikipedia that are nominal EM (electromagnetic) simulators; Antenna modeling, especially in Amateur Radio. Widely used as the basis for many GUI-based programs on many platforms. Version 2 is open source, but Versions 3 and 4 are ...
COMSOL Inc. COMSOL Multiphysics is a finite element analyzer, solver, and simulation software package for various physics and engineering applications, especially coupled phenomena and multiphysics. The software facilitates conventional physics-based user interfaces and coupled systems of partial differential equations (PDEs).
GOMA is an open-source, parallel, and scalable multiphysics software package for modeling and simulation of real-life physical processes, with a basis in computational fluid dynamics for problems with evolving geometry. A generic finite element library written in C++ with interfaces for Python, Matlab and Scilab.
Advanced Simulation Library (ASL) is a free and open-source hardware-accelerated multiphysics simulation platform. It enables users to write customized numerical solvers in C++ and deploy them on a variety of massively parallel architectures , ranging from inexpensive FPGAs, DSPs and GPUs [ 1 ] up to heterogeneous clusters and supercomputers.