Nowadays, machine learning techniques are used in many applications. In the field of reduced-order modeling, they are conveniently used especially when dealing with complex non-linear systems when a standard equation-based approach can’t achieve the needed performance in terms of efficiency and accuracy. To tackle this need, Altair has developed a novel approach: Altair® romAI™.
This application combines AI and system modeling techniques to generate reusable static or dynamic models extremely time-efficient, hence able to speed-up system design and optimization.
Besides introducing the romAI approach, in this session we present 2 applications of romAI applied on Altair® EDEM™ simulations to better understand and appreciate the benefit of this novel approach in the DEM discipline.
Presented as part of the virtual ATCx DEM in November 2022.
Speaker: Livio Mariano, Director Math Systems, Altair
Duration: 15 minutes