AI and Machine Learning 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.