Harnessing AI and Cloud Technology for Advanced Multiphysics Simulations
SimScale is a cloud-based multiphysics CAE platform that runs in a browser, allowing engineers to set up, run, analyze and collaborate on simulations from any device. To make simulation more accessible to non-specialists, the application offers Engineering AI, an agentic engineering workflow that orchestrates the analysis process. In practice, that means automating individual simulation tasks like mesh setup or solver configuration. In addition, an engineering team can define a design challenge and have SimScale’s agentic workflows orchestrate hundreds of parallel simulation variants, explore the resulting design space, surface optimal configurations and deliver validated outputs.
In addition, SimScale’s Physics AI function allows engineering teams to run hundreds of CFD simulations in parallel through a cloud-based design of experiments. A Physics AI model trained on those results can then evaluate new design variants in a fraction of the time needed for full-fidelity CFD while maintaining accuracy within 5%. Underpinning both AI layers is SimScale’s cloud-native architecture that integrates with NVIDIA PhysicsNeMo for physics-informed AI model development and Omniverse-based tools for Digital Twin environments.
SimScale’s solver breadth includes CFD (OpenFOAM, LBM, IBM); FEA (Marc); thermal; electromagnetic; and multiphysics. The platform also offers Smoothed Particle Hydrodynamics (SPH) simulation, which offers meshless simulation of dynamic fluid behavior with GPU-accelerated runtimes 10-20× faster than traditional grid-based CFD for targeted use cases.
About the Author
Mike McLeodMike McLeod
Senior Editor, Machine Design
Mike McLeod, senior editor of Machine Design, is an award-winning business and technology writer with more than 25 years of experience. He has covered the full spectrum of mechanical engineering, from industrial automation, aerospace and automotive, to CAD/CAE, additive manufacturing, linear motion and fluid power.
