AI and Machine Learning in Simulation

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.

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.

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 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.

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.