Surrogate models for real time decision making in industrial processes

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Examples of how IFE has created real-time models based on complex and time-consuming models. IFE has applied techniques for reduced order models, neural networks, multivariate polynomials, as well as interpolated eigenvalue problems and more.

Presented by Øyvind Jensen, Department Head Computational Materials Processing, Institute for Energy Technology (IFE)