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In many companies, the workflow around simulations is a highly manual and error-prone process. Automating a simulation workflow saves time and effort. Moreover, it makes the process far more reliable, and it opens new possibilities.

Model-order reduction is a powerful technique to speed up simulations. It can be used to solve peformance issues in applications like design optimization, model-based predictive control, or digital twinning. In this blog, we’ll give a very basic introduction to these techniques and describe some experiments that were done at VORtech by two interns at VORtech, Floris Roodenburg and Abinash Mishra. They could speed up calculations by more than a factor of ten.

There have been many positive developments on the personnel front in the past year. For example, we have welcomed a host of new colleagues and some senior employees are preparing to become partners. We celebrate a series of working jubileesies. We said goodbye to a few colleagues, but that is a natural process in a larger team. Because many of our relations have a personal connection with our colleagues, we thought it good to give an overview of the developments.