ML for Industrial CAE – “Just scale it”

By scaling up ML, engineers can more quickly iterate and optimize their product design, thanks to faster simulations. ML can speed up traditional methods, which makes it easier to integrate their capabilities within established company software and processes. Read about our ML engineering innovation journey in the frame of the research project ML4SIM!

Agent studio: A multi-agent system for systems engineering

This blog post shows a proof-of-concept implementation about a multi-agent system powered with large language model to enhance systems engineering workflow.

Figure 2 - UD tape TECHNYL Lite C118 T130 C60 (©DOMO)

Lightweighting by engineered composite materials, manufacturing and performance

Building bridges with simulation The development of new products increasingly demands the use of novel materials crafted through advanced manufacturing…

Enabling sound design through more accurate industrial vibro-acoustic trim models

Current-day product design engineers from many industries (manufacturers of cars, trains, planes, industrial machinery, white goods, smartphones, …) find themselves…

Automotive. Creative glowing car hologram interface on dark blue background. Transport diagnostics and futuristic technology concept. 3D Rendering

Simcenter meets Catena-X

Find out what happened with Simcenter met Catena-X. This project was created to support and speed up the transformation of the automotive industry.