Siemens Simcenter Physics AI Speeds Up CFD Design Exploration

Simulation software Siemens introduces new add-on for AI-powered CFD design exploration

2026-05-28 Source: Siemens Digital Industries Software 1 min Reading Time

Design exploration in CFD could become significantly faster with Siemens’ new Simcenter Physics AI add-on for Simcenter Star-CCM+. The software uses geometric deep learning to build AI reduced-order models from simulation data, enabling engineers to evaluate thousands of geometry variants in minutes and check predictions against high-fidelity CFD results.

Simcenter PhysicsAI empowers engineers to reuse existing CFD results as GDL training data and build predictive models faster(Source: Siemens) — Simcenter PhysicsAI empowers engineers to reuse existing CFD results as GDL training data and build predictive models faster
(Source: Siemens)

Siemens has announced the expansion of the Simcenter advanced engineering simulation and test solutions portfolio with Simcenter Physics AI software, which empowers engineers to almost instantly evaluate bold design concepts and variations.

Simcenter Physics AI 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.

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Simcenter PhysicsAI brings proven geometric deep learning technology in Siemens’ Simcenter Star-CCM+ software to accelerate AI-powered design exploration(Source: Siemens)

“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 Physics AI 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 Physics AI 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. According to Siemens, this approach enables engineering teams to dramatically cut turnaround time to minutes, explore more designs with less computing power, and speed up decision-making.

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