Best Multiphysics Simulation Software
View:
Compare the Top Multiphysics Simulation Software as of April 2025
Sort By:
What is Multiphysics Simulation Software?
Multiphysics simulation software is software to model and simulate complex systems that involve multiple interacting physical phenomena, such as fluid dynamics, heat transfer, structural mechanics, and electromagnetism. It enables engineers and scientists to analyze and predict how different physical forces and processes affect each other within a system, providing a more accurate representation of real-world conditions. The software integrates various simulation methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD), to solve complex coupled problems. It is widely used in industries like aerospace, automotive, and energy, where designing products or systems requires understanding multiple physical interactions. By offering precise simulations, this software helps reduce the need for physical prototypes, accelerates innovation, and improves product performance. Compare and read user reviews of the best Multiphysics Simulation software currently available using the table below. This list is updated regularly.
-
1
NVIDIA Modulus
NVIDIA
NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly.
- Previous
- You're on page 1
- Next