CAASE20 – Conferences | SmartUQ

Predictive Analytics and Uncertainty Quantification of a Microscale Porous Reactor Simulation

October 8 – 4:45 PM EST
Presented by Gavin Jones, Sr. SmartUQ Application Engineer

Using predictive analytics and Uncertainty Quantification, engineers and data scientists can predict the range of possible outcomes for a given design accounting for such uncertainties. By building predictive models of simulations, engineers and data scientists can efficiently perform advanced analytics and obtain new insights.Using a COMSOL simulation of a microscale porous reactor, this presentation will provide an example of the above uses of predictive analytics and uncertainty quantification.