Webinars

The use of computer simulations to analyze systems during the design process is a popular approach for validating and optimizing designs. But these simulations are deterministic in nature and do not consider the uncertainty in design, manufacturing, and use of the product. Using predictive analytics and Uncertainty Quantification, engineers and data scientists can predict a range of possible outcomes for a given design of such a system. By building a predictive model, engineers and data scientists can efficiently perform advanced analytics that gleam new insights in the design. This webinar will illustrate how the analytics tools in SmartUQ software can quantify uncertainties and provide valuable insights for a simulation model of a microscale porous reactor. In addition, SmartUQ is used to determine the optimal geometric parameters for a concentration at the outlet of the reactor. This 30-minute webinar will cover: - Creating and using a Design of Experiments to select the best simulation input settings to run for training data acquisition - Using the resulting advanced emulator (predictive model) to help in the optimization of controllable parameters - Running and interpreting the resulting sensitivity analysis and uncertainty propagation for the model and around the optimized value