How to sustain the ongoing evolution of industrial simulation?

The evolution of industrial simulation has been marked by a transition from primarily scientific and proprietary software to a market dominated by sophisticated commercial products.

On the ongoing evolution of industrial simulation

Industrial simulation – from where it is today, to where it might be in the future. Simulation as of today is still only accessible by a very expert centric user group. Technical as well as non-technical barriers prevent adoption of simulation by anyone and all who might benefit from it. How can we enable the adoption of CAE to its full potential?

Illustration of an engineer of East Asian descent at a workstation engaged in generative AI design on floating digital screens, with a detailed physical model of a drone with exposed circuitry and mechanical parts on the desk beside them. The model reflects the generative AI's output, showcasing the practical application of the AI's computations in real-world engineering.

Generative engineering and the role of simulation

The community is abuzz with talk about Generative AI tools, but how can we exploit generative engineering to advance our productivity?

The transformative power of fusing Machine Learning and physics-based simulation in CAE tools - Oil painting by DALL-E

Beyond traditional engineering simulations: How Machine Learning is pioneering change in engineering

Machine Learning technologies are not just incremental enhancements; they hold the promise to revolutionize our understanding and application of simulation in engineering.

Speedy simulations: From Moore’s Law to more efficient algorithms

Current technical developments in the context of predictive algorithms and how the algorithms are outpacing Moore’s law. Leveraging this development we can expect simulation tools to be on a level of capability we cannot imagine today.