Siemens introduces new Simcenter PhysicsAI add-on for AI-powered CFD design exploration

Simcenter PhysicsAI brings proven geometric deep learning technology in Siemens' Simcenter STAR-CCM+ software to accelerate AI-powered design exploration. The new capabilities enable engineers to create highly efficient AI reduced-order models (ROMs) from computational fluid dynamics (CFD) simulation data and to conduct what-if exploration in a fraction of the time (in the order of 1,000x faster) and with fewer computational resources than traditional workflows.

"Engineering simulation isn't limited by physics - it's limited by how quickly we can explore possibilities. Our strategy is to help customers learn from past work, accelerate exploration, and use AI as a prescriptive engine for innovation. We're not replacing deterministic truth - we're making it scalable and immediate," said Sam Mahalingam, executive vice president, Simulation, HPC and AI, Siemens Digital Industries Software. "We're harnessing AI to help engineers rapidly explore and pinpoint the best solutions to their problems. Simcenter PhysicAI allows customers to target challenges with unprecedented speed and intelligence, frees teams from repetitive tasks and fragmented data and empowers engineers to focus on what matters most: driving creativity and accelerating innovation."

Simcenter PhysicsAI allows engineers to train and validate AI surrogate models using simulation results, run near instant predictions on new geometries within their simulation integrated environment and retain easy access to high-fidelity CFD simulation as the validation reference. This approach enables engineering teams to dramatically cut turnaround time to minutes, explore more designs with less computing power, and speed up decision-making.