Machine Learning
and process simulation

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Why use
Machine Learning? 

Machine learning and simulation have a similar goal: To predict the behavior of a system with data analysis and mathematical modeling.

It is for every engineer who needs faster model predictions than flowsheet simulators can provide. Surrogate Models run independent of the flowsheet simulator.

Find out how we shape "The Future of Process Simulation"

Learn from how to use Multivariate Sensitivity Studies and Machine Learning for Plant-Wide Optimization

Learn from our Prereformer Reactor Project how to embed a Surrogate Model in a Process Simulator

Explore our Interaction in ML audio poster

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Interaction-PE-SE-ML

The better we understand you and your needs, the better we can provide you with specific support and advice.

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