Hybrid Reduced Order Model Cuts Simulation Costs Both Offline and Online

A new hybrid reduced order model has been developed to reduce simulation costs for complex systems, with applications in pharmaceutical manufacturing.

The model combines the strengths of both reduced order models and hybrid models to achieve high accuracy and efficiency.

This approach has the potential to significantly reduce the computational cost of simulating complex systems, such as those found in pharmaceutical manufacturing.

The researchers behind the development of the model believe it could be used to improve the design and operation of various processes, including those in the pharmaceutical industry.