Webinars

System simulation allows engineers to study how components, controls, operating conditions, and physical processes interact within a complete system. Although individual system simulations may run relatively quickly, engineering activities such as design-space exploration, sensitivity analysis, uncertainty propagation, optimization, calibration, and virtual testing can require thousands or millions of model evaluations. This webinar will introduce SmartUQ software and discuss how modern design of experiments and machine learning models (aka surrogate models) along with uncertainty quantification tools can help engineers rapidly explore designs and operating conditions, identify the most influential inputs, quantify the effects of variability and uncertainty, and support better engineering decision-making. In general, SmartUQ can be used to harness advanced machine learning and statistical tools to accelerate workflows and maximize the knowledge gained from simulation, test, and digital twins. SmartUQ can help you gain deeper insights, make more reliable, data-driven design decisions, and optimize designs, processes, and equipment performance under real-world variability. Join us for this webinar in which SmartUQ Principal Application Engineer, Gavin Jones, will introduce the use of SmartUQ for system simulation applications. Customer use cases and demonstrations in SmartUQ will be used to illustrate points. SmartUQ’s ability to integrate with tools such as Simulink will also be covered.