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Siemens & PhysicsX Collaborate to Build AI-based Deep Physics Simulation
西門子與PhysicsX合作打造基于AI的深度物理仿真

Siemens Digital Industries Software announced its ongoing collaboration with PhysicsX, a startup leveraging generative AI to enable breakthrough engineering in advanced industries. Together, they aim to create the next generation of AI-based deep physics simulation to accelerate performance prediction and optimization.

西門子數字工業軟件宣布與PhysicsX進行持續合作，后者是一家利用生成式AI推動行業工程創新的初創公司。他們共同的目標是創建下一代基于AI的深度物理仿真，以加速性能預測和優化。

PhysicsX is building its latest pre-trained deep physics model for aerodynamics on high-fidelity simulation data generated with the Siemens Xcelerator portfolio.

PhysicsX正在使用西門子Xcelerator產品組合生成的高保真度仿真數據，構建其的預訓練深度物理模型，用于空氣動力學。

“AI represents a truly transformative opportunity for the simulation community, and we are exploring its potential at an accelerated rate,” said 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.”

“人工智能為仿真社區帶來了真正的變革性機遇，我們正在以加速的速率探索其潛力，”西門子數字工業軟件仿真和測試解決方案高級副總裁Jean-Claude Ercolanelli表示。“要擴大AI的應用，開放合作至關重要。西門子很高興看到PhysicsX向世界展示其研究成果。我們正在共同探索一個AI增強的仿真行業，這有可能改變產品構思和工程的方式。”

“We are delighted to take our collaboration with Siemens to the next level, working together on fundamental technology to improve the way engineering is practiced,” said Robin Tuluie, founder and chairman of PhysicsX.

“我們很高興將與西門子的合作提升到一個新的水平，共同致力于改善工程實踐方式的基礎技術，”PhysicsX的創始人兼董事長Robin Tuluie表示。

“The basis for successful AI deployment into engineering hinges on highest-quality synthetic data, robust integrations between Computer Aided Engineering (CAE) and AI [Artificial Intelligence] 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.”

“成功將AI部署到工程中的基礎在于質量的合成數據、計算機輔助工程（CAE）與AI之間的強大集成，以及建立在客戶對我們各自技術信任之上。我們很高興能與西門子共同抓住這個機會，發布我們的用于空氣動力學的大幾何模型（LGM-Aero），該模型使用西門子Xcelerator產品組合工具生成的高保真數據進行訓練。我們還很高興發布Ai.rplane，這是一個開放訪問的參考應用，展示了LGM-Aero在設計創新空氣動力學解決方案方面的強大能力。”

Large Geometry Model (LGM) release
Much of the promise of AI in industrial applications starts with the dramatic acceleration that AI can bring to simulation. 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 (CFD) and Finite Element Analysis (FEA) simulations using high-quality Simcenter STAR-CCM+ software and Simcenter Nastran software. It allows users to fine-tune deep learning models for their own applications with as little as a few tens of simulations.

大幾何模型（LGM）發布
AI在工業應用中的許多承諾始于AI能夠為仿真帶來的顯著加速。PhysicsX的LGM-Aero是在超過2500萬個幾何體及其相關的物理仿真數據集上訓練的。訓練數據包含數千億個網格元素和數萬個使用高質量Simcenter STAR-CCM+軟件和Simcenter Nastran軟件進行的計算流體動力學（CFD）和有限元分析（FEA）仿真。它允許用戶為自己的應用微調深度學習模型，只需數十次仿真即可。