**Industrial and Manufacturing Sector** # Dassault Systèmes Accelerates Innovation With Virtual Twins and Industrial AI [Explore CAE Solutions](https://www.nvidia.com/en-us/solutions/cae.md) ## Objective Dassault Systèmes is combining its [Virtual Twin](https://www.3ds.com/virtual-twin) technologies with NVIDIA AI infrastructure, open models and AI physics and Omniverse libraries to establish science-validated Industry World Models, and new ways of working through skilled virtual companions on the agentic 3DEXPERIENCE platform, that empower professionals with new expertise. At Wichita State University’s National Institute for Aviation Research (NIAR), this approach supports aircraft virtual-twin workflows that bring simulation and compliance considerations earlier into the design process. Lucid Motors is exploring virtual twins of their vehicles with multiphysics simulation models powered by NVIDIA physics-informed AI models to help move from concept to production faster without sacrificing predictive accuracy. ## Customer Wichita State University’s National Institute for Aviation Research  LUCID Motors ## Partner Dassault Systèmes ## Use Case Structural Analysis ## Products * [NVIDIA CUDA™](https://developer.nvidia.com/cuda) * [NVIDIA PhysicsNeMo](https://developer.nvidia.com/physicsnemo) * [NVIDIA Omniverse™](https://www.nvidia.com/en-us/omniverse.md) #### Key Takeaways * Simulation outcomes can be predicted faster with SIMULIA AI-driven Virtual Twin Physics Behavior, NVIDIA CUDA-X™, AI physics framework and Omniverse libraries. * LUCID Motors and NIAR’s use Dassault Systèmes Virtual Twins of Physics Behavior, combined with NVIDIA Nemotron™ and NVIDIA PhysicsNeMo AI physics open models, to accelerate automotive and aircraft design, testing, and certification workflows * Earlier conformity checks in automotive and aircraft design are enabled by Virtual Companions, which support compliance by design across 10,000+ requirements. * Reduced certification efforts and preserved information sovereignty are supported by aligning aircraft virtual twins to means of compliance on the 3DEXPERIENCE agentic platform. * Move from concept to production faster without sacrificing predictive accuracy ## Industrial AI Transforms with AI Physics GPU acceleration has already helped engineering teams speed up traditional simulation workflows. AI physics takes simulation further by using open models and models trained on physics-based data to help predict outcomes in near real time, enabling engineers to explore more design options earlier. Dassault Systèmes is applying this capability inside virtual twin workflows, its science-based approach to [digital twins](https://www.nvidia.com/en-us/glossary/digital-twin.md) that connects 3D models, simulation, engineering data, and domain expertise. [NVIDIA CUDA-X](https://www.nvidia.com/en-us/technologies/cuda-x.md) and AI physics libraries along with [NVIDIA PhysicsNeMo](https://developer.nvidia.com/physicsnemo) help accelerate AI-enabled simulation workflows across Dassault Systèmes portfolio, while [NVIDIA Omniverse](https://www.nvidia.com/en-us/omniverse.md) technologies provide libraries and microservices for industrial virtual twins and AI simulation applications. ## AI Physics Brings Speed to Trusted Simulation SIMULIA is the Dassault Systèmes' brand that delivers multiphysics, multiscale simulation analysis, integrated in the 3DEXPERIENCE platform. Its proven simulation capabilities enable designers and engineers to explore and validate how materials, components, and complex engineered systems perform under real-world conditions. Through its collaboration with NVIDIA, Dassault Systèmes is integrating NVIDIA [CUDA-X](https://www.nvidia.com/en-us/technologies/cuda-x.md) and AI physics libraries into SIMULIA AI-driven Virtual Twin of Physics Behavior to accurately predict physics-based outcomes to improve product performance. The Dassault Systèmes and NVIDIA partnership is significantly accelerating physics simulation enabling reliable results to drive design-decisions earlier in the development process. ## Virtual Twins Accelerate Aerospace and Automotive Workflows Customer examples show how Dassault Systèmes and NVIDIA technologies can support complex engineering workflows across aerospace and automotive development. Wichita State University’s National Institute for Aviation Research (NIAR) is using Dassault Systèmes Virtual Twins and AI-driven Virtual Companions and [NVIDIA Nemotron open models](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron.md), to accelerate aircraft design, testing, and certification. Dassault Systèmes’ 3DEXPERIENCE agentic platform supports compliance by design and moves conformity checks earlier in the process. [ ](https://images.nvidia.com/aem-dam/en-zz/nvidiaweb/case-studies/dassault/NIAR.mp4) “Using the platform to align the virtual twin to the means of compliance reduces certification efforts while preserving sovereignty of the information.” **Shawn Ehrstein** Director, Emerging Technologies and CAD/CAM, NIAR In automotive, Lucid Motors is using Dassault Systèmes’ 3DEXPERIENCE platform and Digital Twin simulation models powered by NVIDIA’s open source physics-informed AI models to help move from concept to production faster without sacrificing predictive accuracy. “Agility, speed of innovation and rapid iteration are at the core of our workflows, and our exploration of multi-physics based Digital Twin simulation models, powered by NVIDIA’s open-source, physics-informed AI models, has the potential to help our teams move from concept to production faster.” **Vivek Attaluri** Vice President of Vehicle Engineering, Lucid Motors [ ](/content/dam/en-zz/Solutions/case-studies/dassault-systemes/lucid_rolloverBaseline.mp4) ## Scaling Industrial AI Across Engineering Workflows Combining Dassault Systèmes’ Virtual Twin technologies with NVIDIA AI infrastructure, open models and accelerated software libraries will establish science-validated industry [World Models](https://www.nvidia.com/en-us/glossary/world-models.md), and new ways of working through skilled AI-driven Virtual Companions on the agentic 3DEXPERIENCE platform. This helps engineering teams bring simulation, compliance, manufacturability, and optimization earlier in the product development process. The result is a path toward faster engineering decisions grounded in trusted physics, validated knowledge, and industrial context. The Dassault Systèmes and NVIDIA collaboration in simulation and certification is part of a broader [partnership](http://nvidianews.nvidia.com/news/dassault-systemes-nvidia-industrial-ai) spanning AI-driven Virtual Companions, biology and materials research, Virtual Twins for factories, and AI-driven Physics. Together, this partnership will redefine how [industrial AI](https://www.nvidia.com/en-us/glossary/industrial-ai.md) will be built and applied in the years ahead. Learn how NVIDIA accelerated computing, AI, and Omniverse technologies help enterprises build industrial AI workflows grounded in physics, simulation, and real-world data. [Explore CAE Solutions](https://www.nvidia.com/en-us/solutions/cae.md) ## Related Customer Stories