# AI and Machine Learning in Simulation Get more from your simulations and work more efficiently with AI-assisted performance-driven design with machine learning. ## (AI and ML in Simulation Intro)What is Artificial Intelligence and Machine Learning in Simulation? Artificial intelligence (AI) and machine learning (ML) have become crucial tools within companies across many industries, unlocking new potential of existing processes and allowing entirely new forms of innovation. AI and ML offer significant benefits for users when implemented in the simulation process. Users can build realistic models of complex real-world systems with AI assistance, or accelerate trade-off studies and optimization with powerful ML surrogate models that can deliver results within seconds, without compromising on accuracy. ## (SIMULIA AI H2) Virtual Twin Physics Behavior A Virtual Twin Physics Behavior is created with an **AI-powered Generative Experience** that uses advanced machine learning techniques to model the behavior of systems and understand the effect of design changes. Based on simulation data from SIMULIA tools, the Virtual Twin Physics Behavior provides KPIs and 3D results in a fraction of the time of a full simulation – in many cases, offering near-instant, interactive results prediction. This is a particularly useful tool in the early stages of design, allowing designers to quickly see the effect of a design change and explore the full parameter space to identify optimal trade-offs. [Virtual Twin of Physics Behavior](/media/25819) [Learn more about the Virtual Twin Physics Behavior](https://r1132100503382-eu1-3dswym.3dexperience.3ds.com/community/swym:prd:R1132100503382:community:39?content=swym:prd:R1132100503382:wikitree:TOQIdX4qRNufakAMi8fSJw§ion=moment_1_generative_physics_be) ## (SIMULIA AI) Virtual Companions for Simulation **Virtual Companions** are industrial AI agents that work alongside users to support innovation, automate routine tasks and accelerate product development. Dassault Systèmes Virtual Companions are built on the **3D**EXPERIENCE platform and have the data and context needed to tackle real industrial design problems. Dassault Systèmes offers three Virtual Companions for different business challenges. **LEO**, the engineer, focuses on technical problem-solving (design, simulation, or process engineering) to solve complex engineering challenges. He can provide help and troubleshooting to simulation users, set up simulations for specific scenarios, and provide for automation of modeling and simulation (MODSIM) workflows. [Virtual Companion](/media/25817) [Learn more about working with LEO ](https://r1132100503382-eu1-3dswym.3dexperience.3ds.com/community/swym:prd:R1132100503382:community:39?content=swym:prd:R1132100503382:wikitree:TOQIdX4qRNufakAMi8fSJw§ion=virtual_companion_competencies) ## (SIMULIA) Virtual Twins + Realistic Simulation Virtual Twins in [3D UNIV+RSES](/industrial-ai/design-and-engineering "Put Your Critical IP at the Heart of Design and Engineering With Industrial AI") use industrial AI, trained on realistic and trusted multiphysics simulation, to provide new insights and accelerate product development. [SIMULIA-UNIVERSES](/media/23870) ## Key Benefits of Using SIMULIA AI Tools ## (AI & ML in Simulation)Accelerate simulation ![](https://www.3ds.com/assets/invest/2022-08/icon-008-accelerate.png) ## (AI & ML in Simulation)Optimize designs ![](https://www.3ds.com/assets/invest/2024-09/icon-002-improve.png) ## (AI 7 ML in Simulation)Maximize Resource Efficiency ![](https://www.3ds.com/assets/invest/2020-12/icon-074-reduce-cost.png) ## (AI & ML in Simulation)Empower Innovation ![](https://www.3ds.com/assets/invest/2021-04/icon-431-creative-engineer.png) ## (SIMULIA AI/ML Panel of bricks) Impact of AI and ML on Different Industries ## (SIMULIA AI/ML Highlight) Aerospace & Defense AI and ML are evolving the Aerospace & Defense industry by speeding up the design process and reducing the costs of physical testing. These technologies enable accurate simulations that help meet safety standards, all while ensuring safety and efficiency. [Aerospace and Defense](/media/20056) [Discover simulation for A&D](/products/simulia/aerospace-defense) ## (SIMULIA AI/ML Highlight) Transportation & Mobility In Transportation & Mobility, AI-driven simulations power innovation, helping manufacturers to design vehicles faster and test new ideas virtually. AI and ML solutions help reduce costs and risks while enhancing product performance. [Transportation](/media/20052) [Discover simulation for T&M](/products/simulia/transportation-mobility) ## (SIMULIA AI/ML Highlight) Industrial Equipment For Industrial Equipment manufacturers, AI and ML offer tools that help engineers solve complex challenges in design. These tools test how products will perform in different conditions, making sure everything runs efficiently and reliably before companies release it to the market. [Industrial Equipment](/media/20051) [Discover simulation for IE](/products/simulia/industrial-equipment) ## (SIMULIA AI/ML Highlight) High-Tech High-Tech companies use technology to create virtual models of their products, enabling more accurate testing and design adjustments. They simulate mechanical behavior, thermal conditions, and more to improve product performance. [High Tech](/media/20054) [Discover simulation for High Tech](/products/simulia/high-tech) ## (SIMULIA AI/ML Highlight) Life Sciences & Healthcare In Life Sciences & Healthcare, AI and ML assist in simulating human body interactions, medical devices, and surgical equipment. With these technologies, engineers can predict how various materials and systems will behave, leading to better patient outcomes and innovative healthcare solutions. [Life Science](/media/20053) [Discover simulation for LS & Healthcare](/products/simulia/life-sciences-healthcare) ## (SIMULIA AI/ML Highlight) Infrastructure, Energy & Materials Infrastructure, Energy & Materials industries rely on AI and ML to predict how large structures and complex equipment behave under various real-world conditions. These technologies help simulate everything from vibrations and corrosion to fluid dynamics, supporting more sustainable and efficient infrastructure solutions. [Infrastructure, Energy and Material](/media/20055) [Discover simulation for IEM](/products/simulia/infrastructure-energy-materials) ## (SIMULIA AI and ML Highlight 1) Use the Full Power of Simulation Make the most of the resources that you have. Virtual Twins Physics Behavior are **trained on design and simulation data** to produce an AI model that replicates the real behavior of the system. These technologies **accelerate the modeling and optimization of future designs**. AI-powered design optimization lets users explore the design space in a highly responsive way, enabling them to work more efficiently on complex tasks and concentrate on what really matters. [SIMULIA Portfolio Overview](/media/18930) [What makes the SIMULIA approach to AI unique?](https://blog.3ds.com/brands/simulia/what-makes-simulia-approach-ai-unique/) ## (AI and ML Highlight 3) Make Simulation Accessible to All with AI-Powered MODSIM Unified modeling and simulation (MODSIM) brings the power of simulation to designers and engineers, allowing them to use simulation data to inform design at any stage of development. An important step in implementing MODSIM in businesses is **democratizing simulation**: equipping non-experts with the skills needed to effectively use engineering simulation technologies such as finite element analysis (FEA), computational fluid dynamics (CFD), and electromagnetic simulation. **LEO**, *the engineering Virtual Companion*, brings the expertise needed to **set up workflows** for a wide range of simulation applications, **reducing workload** and giving users the results they need faster. Users don’t need a detailed simulation setup or machine learning experience. The AI embeds the expertise into the automation, and the model setup is already defined. MODSIM powers Virtual Twin Physics Behavior, enabling designers to make informed decisions from the earliest stages of design. [MODSIM empowered AI/ML](/media/18873) [Learn more about MODSIM](/products/simulia/modsim) ## (SIMULIA AI and ML Highlight 2) Use AI on the Cloud to Reduce Hardware Costs Running large numbers of physical simulations requires significant investment in computer hardware for businesses. The **3D**EXPERIENCE platform on the cloud provides an alternative approach, but businesses need to ensure that the cloud offering they are using protects their data. Dassault Systèmes cloud offerings from [OUTSCALE](/products/outscale "OUTSCALE ") are secure and sovereign, and **your data will never be used to train other AI models**. With the **3D**EXPERIENCE platform on the cloud, you take advantage of the power of artificial intelligence in your business to **implement physics-based design** even during the concept stage when full simulation methods are too computationally expensive. [SIMULIA Cloud Simulation](/media/18872) [Learn more about 3DEXPERIENCE Cloud Simulation](/products/simulia/3dexperience-cloud-simulation) ## ## (AI & ML in Simulation) Start Your Journey Simulation technology is constantly evolving. Discover how to stay a step ahead with AI and machine learning ## FAQs about AI and ML in Simulation ## What is Industrial AI? At Dassault Systèmes, Industrial AI refers to a type of Artificial Intelligence that comprehends, simulates, and optimizes real-world industrial systems. By leveraging SIMULIA's physical simulation capabilities, it combines physics-based scientific models with AI reasoning and over 40 years of industrial experience. ## What collaboration does Dassault Systèmes have with NVIDIA? Design of experiments (DoE), trade-off studies, and optimization require simulating many different design variations. Running all of these with full physics simulation can be time-consuming and inefficient use of computer resources. The process can be accelerated by running a few simulations covering the design space and training a neural network machine learning model on the results of these. The neural network learns how design details affect physical behavior and can calculate results for any design variation in moments. This significantly accelerates the process and provides instant feedback for any design change. ## How can I use AI technologies and ML models in my simulation? There are solutions for every type of user – from small companies through to enterprises. Dassault Systèmes SIMULIA has the simulation and machine learning domain experience to produce AI experiences, meaning you don’t need to be an expert in data science to take advantage of the power of artificial intelligence and machine learning. If you are interested in implementing AI/ML technologies in your simulation workflow, join us on [the SIMULIA Community Machine Learning wiki](https://r1132100503382-eu1-3dswym.3dexperience.3ds.com/community/swym:prd:R1132100503382:community:39?content=swym:prd:R1132100503382:wikitree:pm_-XzoFRX6JhP2Cr1sKQA) and discuss your requirements with a SIMULIA expert. ## How does training surrogate models work to accelerate simulation? Design of experiments (DoE), trade-off studies, and optimization require simulating many different design variations. Running all of these with full physics simulation can be time-consuming and inefficient use of computer resources. The process can be accelerated by running a few simulations covering the design space and training a neural network machine learning model on the results of these. The neural network learns how design details affect physical behavior and can calculate results for any design variation in moments. This significantly accelerates the process and provides instant feedback for any design change. ## How can I trust AI-powered simulation software? The quality of a machine-learning model depends on the quality of the data it’s trained on. The physics simulation tools from the SIMULIA brand of Dassault Systèmes are best-in-class products trusted by users and proven by years of industrial use. Machine learning models can be trained on simulations from these tools, and the high quality of the simulation data means users can trust their models. Safeguards ensure high-quality output, and the predicted results can be verified against simulated or measured data, giving users confidence in the training. ## (SIMULIA AI-ML) Also Discover [What's New in 3DEXPERIENCE SIMULIA R2026x](/products/simulia/3dexperience-simulia/latest-release) [Put Your Critical IP at the Heart of Design and Engineering With Industrial AI](/industrial-ai/design-and-engineering) [MODSIM Unified Modeling & Simulation](/products/simulia/modsim) [The Future of Engineering with Industrial AI](/products/catia/future-engineering-industrial-ai) [3DEXPERIENCE Cloud Simulation](/products/simulia/3dexperience-cloud-simulation) [SIMULIA Portfolio](/products/simulia/all-products) Classic Highlight with label ## (Contact Us - SIMULIA footer)Learn What SIMULIA Can Do for You Speak with a SIMULIA expert to learn how our solutions enable seamless collaboration and sustainable innovation at organizations of every size. [Contact us](/how-to-buy) [Visit a user community](/products/simulia/user-communities) ## (SIMULIA footer)Get Started Courses and classes are available for students, academia, professionals and companies. Find the right SIMULIA training for you. [Find training](/products/simulia/training) ## (SIMULIA footer)Get Help Find information on software & hardware certification, software downloads, user documentation, support contact and services offering [Get support ](/support) [Get services](/products/simulia/services-offering) ![Artificial Intelligence and Machine Learning in Simulation - SIMULIA > Dassault Systèmes](https://www.3ds.com/assets/invest/2024-10/simulia-ai-ml-icon-1920x696.jpg) [ Contact us ](/how-to-buy) [ Visit a SIMULIA user community ](/products/simulia/user-communities) Topic