‘Ai.rplane’ offers a publicly accessible and easy-to-use LGM that allows engineers to generate innovative aircraft designs in an infinitely wide design space and instantaneously assess the designed aircraft’s potential performance.
Built using AWS services and trained by PhysicsX data scientists on 25 million meshes representing around 10 billion vertices, the LGM powering Ai.rplane is based on foundational research carried out by PhysicsX on how all shapes can be encoded to infer physics.
In one seamless operation, the technology creates novel designs, predicts lift, drag, stability, structural stress and other attributes for each shape, then optimises the design according to the user’s preferences. When used in industrial applications, this reduces development time from months to hours.“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 optimise across multiple types of physics in seconds, many orders of magnitude faster than numerical simulation, but at the same level of accuracy.”
Unveiled today at AWS re:Invent 2024, Ai.rplane was developed using an extensive set of simulation technologies from Siemens to automate the generation of high-quality training data. It runs on the PhysicsX AI-first enterprise platform, which is being deployed at scale across aerospace and other industries.
“We are thrilled to continue to build our deep collaboration with AWS, a relationship that will accelerate training for Ai.rplane. This is a first step in transforming the way engineering is practised in advanced industries,” added Robin Tuluie, founder and chairman of PhysicsX. “Over time, we will be adding capabilities to Ai.rplane which allow users to select powertrains, add controls and further content to reach mature designs in days rather than months or years.
”We are delighted to work with PhysicsX as they develop their first Large Geometry Model,Ai.rplane,” said Ozgur Tohumcu, General Manager, Automotive and Manufacturing,AWS. “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. We’ve been impressed by PhysicsX’s pace of innovation and look forward to deepening our collaboration.”
London-based PhysicsX recently came out of ‘stealth’ mode with $32m in Series A funding, scaling to a team of over 100 data scientists, machine learning engineers, simulation specialists, as well as research, product and delivery teams to build out its platform for applications in semiconductors, materials, aerospace, automotive and clean energy. The start-up has built an AI-based enterprise platform that can predict the physics of complex systems with high accuracy and fidelity, anywhere from 10,000 to a million times faster than CFD-based simulations.
