PhysicsX partners with Siemens for AI-based aero simulation
Siemens Digital Industries Software has announced an ongoing collaboration with PhysicsX to develop an AI-based deep physics simulation for enhanced engineering in advanced industries.
PhysicsX is building its latest pre-trained deep physics model for aerodynamics using simulation data generated with the Siemens Xcelerator portfolio. Senior Vice President of Simulation and Test Solutions, Siemens Digital Industries Software, Jean-Claude Ercolanelli, said, "AI represents a truly transformative opportunity for the simulation community, and we are exploring its potential at an accelerated rate. To scale AI adoption, open collaboration is key, and Siemens is delighted to see PhysicsX unveil to the world what it is working on - together, we're exploring an AI-enhanced simulation industry that has the potential to change how products are ideated and engineered."
Robin Tuluie, Founder and Chairman of PhysicsX, expressed enthusiasm: "We are delighted to take our collaboration with Siemens to the next level, working together on fundamental technology to improve how engineering is practiced. The basis for successful AI deployment into engineering hinges on highest-quality synthetic data, robust integrations between Computer Aided Engineering (CAE) and AI and building on the trust customers have in our respective technologies."
"We are thrilled to be building into the opportunity space together with Siemens with the release of our latest Large Geometry Model (LGM) for aerodynamics, LGM-Aero, trained on high-fidelity data generated with Siemens Xcelerator portfolio tools. We are also delighted to be releasing Ai.rplane, an open-access reference application showcasing the power of LGM-Aero to design innovative aero solutions."
PhysicsX has released Ai.rplane, a public-access technology demonstrator offering exploratory tools focused on aerodynamics and aircraft structures. It is built on training data created using Siemens' Simcenter Nastran and STAR-CCM+ software.
The Large Geometry Model (LGM) release by PhysicsX demonstrates significant advancements in industrial AI applications. The LGM-Aero model is trained on over 25 million geometries and associated physics simulations, allowing users to fine-tune deep learning models with minimal simulations.
PhysicsX's Ai.rplane represents a significant advancement in AI application for flight, offering a fully-trained model that generalises across aeroelastic applications. Powered by the LGM-Aero, this solution demonstrates the potential for instantaneous geometry creation and physics performance assessment compared to traditional methods.
PhysicsX and Siemens aim to expand Ai.rplane's capabilities by introducing additional features such as cargo packaging options, commercial powertrain selection, and control mechanisms. Ai.rplane was developed using Siemens simulation technologies to generate high-quality data for training, and it is accessible via the PhysicsX AI engineering platform.