Siemens and PhysicsX Collaborate to Build Deep Physics Simulation

Siemens Digital Industries Software has shared details of its ongoing collaboration with PhysicsX, a startup leveraging generative artificial intelligence (AI) to enable engineering in advanced industries, Siemens reports. The collaboration is aimed at creating the next generation of AI-based deep physics simulation to accelerate performance prediction and optimization. PhysicsX is building its latest pretrained deep physics model for aerodynamics on high-fidelity simulation data generated with the Siemens Xcelerator portfolio. 
 
“AI represents a truly transformative opportunity for the simulation community, and we are exploring its potential at an accelerated rate,” says Jean-Claude Ercolanelli, senior vice president, Simulation and Test Solutions, Siemens Digital Industries Software. “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.”

“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,” says Robin Tuluie, founder and chairman of PhysicsX. “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.”

Large Geometry Model (LGM) Release

PhysicsX’s LGM-Aero is trained on a corpus of more than 25 million geometries and associated physics simulation. The training data contains tens of billions of mesh elements and tens of thousands of computational fluid dynamics and finite Element Analysis (FEA) simulations using high-quality Simcenter STAR-CCM+ software and Simcenter Nastran software. 

Technology Demonstrator Goes Live

PhysicsX has also released Ai.rplane, a free public-access reference application offering a set of tools focused on aerodynamics and aircraft structures with AI-shape generation. Powered by LGM-Aero, Ai.rplane shows a fully trained model that generalizes to a set of aeroelastic applications. LGM-Aero is used as a zero-shot model to infer aero performance, flight stability and structural stress for any flying shape generated. The application demonstrates the creation of geometry and the assessment of physics performance in less than a second.

Starting with instructions, users can explore the generative design space offered by Ai.rplane, and modify or optimize for a desired performance characteristic in seconds. Later, PhysicsX aims to add new features, including cargo packaging, selection of commercial powertrains, and controls.
 
Ai.rplane was developed using a set of simulation technologies from Siemens to automate generation of high-quality training data. LGM-Aero and Ai.rplane are available on the PhysicsX AI engineering platform.
 
To access Ai.rplane go to airplane.physicsx.ai.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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