西门子与PhysicsX合作打造基于AI的深度物理仿真

Siemens & PhysicsX Collaborate to Build AI-based Deep Physics Simulation
西门子与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.

西门子数字工业软件宣布与PhysicsX进行持续合作，后者是一家利用生成式AI推动先进行业工程创新的初创公司。他们共同的目标是创建下一代基于AI的深度物理仿真，以加速性能预测和优化。

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

PhysicsX正在使用西门子Xcelerator产品组合生成的高保真度仿真数据，构建其最新的预训练深度物理模型，用于空气动力学。

“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.”

“人工智能为仿真社区带来了真正的变革性机遇，我们正在以加速的速率探索其潜力，”西门子数字工业软件仿真和测试解决方案高级副总裁Jean-Claude Ercolanelli表示。“要扩大AI的应用，开放合作至关重要。西门子很高兴看到PhysicsX向世界展示其研究成果。我们正在共同探索一个AI增强的仿真行业，这有可能改变产品构思和工程的方式。”
 
“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.

“我们很高兴将与西门子的合作提升到一个新的水平，共同致力于改善工程实践方式的基础技术，”PhysicsX的创始人兼董事长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.”

“成功将AI部署到工程中的基础在于最高质量的合成数据、计算机辅助工程（CAE）与AI之间的强大集成，以及建立在客户对我们各自技术信任之上。我们很高兴能与西门子共同抓住这个机会，发布我们最新的用于空气动力学的大几何模型（LGM-Aero），该模型使用西门子Xcelerator产品组合工具生成的高保真数据进行训练。我们还很高兴发布Ai.rplane，这是一个开放访问的参考应用，展示了LGM-Aero在设计创新空气动力学解决方案方面的强大能力。”

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.

大几何模型（LGM）发布
AI在工业应用中的许多承诺始于AI能够为仿真带来的显著加速。PhysicsX的LGM-Aero是在超过2500万个几何体及其相关的物理仿真数据集上训练的。训练数据包含数千亿个网格元素和数万个使用高质量Simcenter STAR-CCM+软件和Simcenter Nastran软件进行的计算流体动力学（CFD）和有限元分析（FEA）仿真。它允许用户为自己的应用微调深度学习模型，只需数十次仿真即可。

Technology demonstrator goes live
PhysicsX has also released Ai.rplane, a free-to-use public-access reference application offering a set of exploratory tools focused on aerodynamics and aircraft structures with unique AI-shape generation. Powered by LGM-Aero, Ai.rplane showcases the power of a fully trained model that generalizes to a broad 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, compared to the several hours required for traditional numerical simulations.

技术演示器上线
PhysicsX还发布了Ai.rplane，这是一个免费供公众访问的参考应用，提供了一套专注于空气动力学和飞机结构的探索性工具，具有独特的AI形状生成功能。Ai.rplane由LGM-Aero提供动力，展示了一个经过全面训练的模型，该模型可以泛化到广泛的空气弹性应用。LGM-Aero被用作零射击模型，以推断任何飞行形状的空气性能、飞行稳定性和结构应力。与传统的数值仿真需要数小时相比，该应用在不到一秒钟的时间内展示了几何图形的创建和物理性能的评估。

Starting with a basic set of instructions, users can explore the full generative design space offered by Ai.rplane, then modify or optimize for a desired performance characteristic in seconds. Over time, PhysicsX aims to add new features, including cargo packaging, selection of commercial powertrains, and controls.

从一组基本指令开始，用户可以探索Ai.rplane提供的完整生成设计空间，然后修改或优化以获得所需的性能特征，仅需几秒钟。随着时间的推移，PhysicsX计划添加新功能，包括货物包装、商用动力总成选择和控制。

Ai.rplane was developed using an extensive set of simulation technologies from Siemens to automate the generation of high-quality training data. Both LGM-Aero and Ai.rplane are available on the PhysicsX AI engineering platform.

Ai.rplane的开发使用了西门子提供的大量仿真技术，以自动化生成高质量的训练数据。LGM-Aero和Ai.rplane都可在PhysicsX AI工程平台上获取。