AI and Machine Learning in Simulation
Get more from your simulations and work more efficiently with AI-assisted performance-driven design with machine learning.
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.
Key Benefits of Using AI and ML Tools
Accelerate simulation
Machine learning models can deliver reliable results in seconds, helping you turn around designs faster.
Optimize designs
With a trained AI model, you can explore the space of design variations and find the best.
Make more efficient use of time and resources
By using trained AI models on the cloud, you can reduce on-site hardware needs.
Unlock full potential and new innovation
With AI experiences you can work more efficiently and spend more time on the important tasks.
Impact of AI and ML on Different Industries
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.
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.
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.
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.
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.
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.
Use the Full Power of Simulation
Make the most of the resources that you have. ML neural network models can be trained on design and simulation data to produce an AI experience that replicates system behavior. These technologies accelerate the modeling and optimization of future designs. AI empowered design optimization lets users explore the design space in a very responsive way to work more efficiently and concentrate on what really matters.
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 the design at any stage of development. One important step in implementing MODSIM in businesses has been democratizing simulation: giving non-experts the skills needed to use engineering simulation technologies such as finite element analysis (FEA), computational fluid dynamics (CFD) and electromagnetic simulation effectively.
Pre-trained ML models contain the expertise needed to set up workflows for many simulation applications, reducing workload and giving users the results they need faster. Users don’t need detailed simulation set-up or machine learning experience – the AI experience embeds the expertise and the model set up is already defined. AI-empowered MODSIM experiences gives designers the ability to make informed decisions the first time.
Use AI on the Cloud to Reduce Hardware Costs
Running large numbers of physical simulations requires significant investment in computer hardware for businesses. We can train the model for you and you can explore the results on the Cloud. Once trained, the model can provide reliable results in a fraction of the time of a full simulation. With 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.
Understand the World with Virtual Twin Experiences
Virtual twin experiences let you visualize, model and simulate the entire environment of sophisticated systems. To build a reliable virtual twin experience, you must model the real-world system accurately. Machine learning algorithms help engineers to model and understand complex system behavior, bringing the virtual and real worlds closer together. Predictive modeling allows rapid virtual testing instead of costly, time-consuming physical testing and offers insight into otherwise inaccessible systems such as the inside of the human body and other real world environments. Companies can test the real-world performance of a product at the concept stage without having to wait for physical prototypes. Virtual twin experiences powered by AI are helping industry to enter the generative economy.
Start Your Journey
Simulation technology is constantly evolving. Discover how to stay a step ahead with AI and machine learning
FAQ about AI and ML in 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 and discuss your requirements with a SIMULIA expert.
Design of experiments (DoE), trade-off studies and optimization require the simulation of many different variations of the design. Running all these using full physics simulation can be time-consuming and an 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 the details of the design affect the physical behavior, and can calculate the results for any design variation in moments. This significantly accelerates the process and provides instant feedback for any design change.
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 quality output, and the models can be verified against simulated or measured data to give users confidence in the training.
AI and ML help make simulations more accurate by looking at a lot of data and finding patterns that might be missed by traditional methods. This leads to more accurate predictions and better designs.
SIMULIA uses AI and ML to make simulations more efficient, reducing the need for physical prototypes and saving materials. Cloud-based tools cut down on energy use by reducing the need for powerful hardware. By testing designs virtually, SIMULIA helps businesses make smarter, greener decisions, making the whole process more sustainable.
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