LGM-Aero’s training data comprises a large high-fidelity physics corpus made with the Siemens Xcelerator portfolio in collaboration with Siemens Digital Industries. Image courtesy of PhysicsX.
December 4, 2024
The London-based startup PhysicsX releases a large geometry model, LGM-Aero, for aerospace engineering, trained and provisioned on Amazon Web Services (AWS) cloud compute using more than 25 million different shapes.
Trained and provisioned on AWS, LGM-Aero is a geometry and physics model pre-trained on a corpus of 25+ million meshes representing over 10 billion vertices, which is said to result in notable reductions in aircraft concept development time, the company reports.
Additionally, ‘Ai.rplane’ is a publicly accessible reference application built on LGM-Aero meant to demonstrate the power of the model for generating aircraft designs and predicting physics associated with aircraft performance. The new application was highlighted at AWS re:Invent 2024 (December 2-6, Las Vegas). Ai.rplane and LGM-Aero are available on the PhysicsX engineering AI platform.
LGM-Aero’s training data includes a large high-fidelity physics corpus of tens of thousands of computational fluid dynamics (CFD) and finite element analysis (FEA) simulations generated with the Siemens Xcelerator portfolio in collaboration with Siemens Digital Industries Software. It is a fully trained model that generalizes to a broad set of aeroelastic applications. It also infers aero performance, flight stability and structural stress for a large class of flying shapes as a zero-shot model.
“In the same way that large language models understand text, Ai.rplane has a vast knowledge of the shapes and structures that are important to aerospace engineering,” says Jacomo Corbo, co-founder and CEO of PhysicsX. “The technology can optimize across multiple types of physics in seconds, many orders of magnitude faster than numerical simulation, and at the same level of accuracy.”
In one operation, the technology creates designs, predicts lift, drag, stability, structural stress and other attributes for each shape, then optimizes the design according to the user’s preferences.
LGM-Aero was developed using a set of simulation technologies from Siemens to automate and scale the generation of high-quality training data, as well as AWS Batch and Amazon EC2 to scale compute during training. It is available on the PhysicsX AI engineering enterprise platform.
“This technology will accelerate the transformation of engineering in Advanced Industries for AWS customers, enabling them to bring their products to the market faster while increasing product performance,” says Ozgur Tohumcu, general manager, Automotive and Manufacturing, AWS.”
“We are thrilled to continue to build on our deep collaboration with AWS, and to announce the release of LGM-Aero and of Ai.rplane,” adds Robin Tuluie, founder and chairman of PhysicsX. “Over time, we will bring new capabilities to LGM-Aero and to Ai.rplane, allowing users to select powertrains, add controls and further content to reach mature designs in days rather than months or years.”
LGM-Aero and Ai.rplane are available on the PhysicsX AI engineering platform. Ai.rplane is free and accessible via airplane.physicsx.ai.
About PhysicsX
PhysicsX is a technology company building a type of engineering platform to bring artificial intelligence (AI)-based simulation and optimization across the product development lifecycle, from design into manufacturing into operations.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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