Development teams doing simulation-based engineering can boost their productivity using Design of Experiments (DOE) performed early in the process – planning virtual experiments to deliver a maximum of relevant design insights at minimum simulation cost.

But they can go one step further! By actively exploiting the design space knowledge being built up as virtual experiments run, they realize an excellent foundation for ultra-fast design optimization.

To learn how, join this free webinar that explains how Optimus Adaptive DOE removes the hurdles of any existing 'black box' DOE approach. Optimus analyzes the available DOE data points in order to carefully pick and add extra samples in design space regions of importance.

During this webinar, we show you:

• how you can accumulate design space knowledge as your simulation process runs, adding DOE samples where needed most.
• how you can continue to benefit from Optimus fine-grain parallellization capabilities by adding these DOE samples in batches.
• how, for even the most complex physics behavior, Optimus delivers high-quality design intelligence models that can also be exported as Functional Mock-up Units (FMU).