Altair physicsAI for Fast CAE Predictions Using Deep Learning

Accelerate your design cycles using state of the art geometric deep learning, available to you directly in the modelling environment. Altair physicsAI harvests the power of your CAE data by learning relationships between geometrical shape and full contour results, letting you make lightning-fast design iterations and arrive at better designs, faster. Unlike traditional machine learning, physicsAI learns directly from the geometry without the need for parameterization. This means you can learn from any of your previous simulations without the need for design of experiments. This presentation is an introduction to physicsAI in Altair HyperMesh, showcasing an automotive hood head impact example and offers a sneak peak of upcoming features.

Presented by Dr. Charles Mortished, Lead Engineering Data Scientist at Altair, as part of Altair's Future.Industry 2024 conference.

Please note that presentations are in English by default. The following languages are available by clicking on Audio Description AD)) on screen: DE, ES, FR, IT, JA, KO , PT, ZH-CN.

Duration: 13 minutes