In the era of digital engineering, simulation has become integral to numerous industries, including aerospace. However, the effective use of simulation still presents a number of challenges including long run times, uncertainties such as to model form and parameters, and difficulty calibrating to real world data. Artificial intelligence and Machine Learning can help with all the above.
SmartUQ is a fast, accurate, and comprehensive Machine Learning and Uncertainty Quantification software tool optimally designed for simulation, digital twin, and other engineering applications. SmartUQ includes best in class machine learning models, which significantly outperform the competition in terms of training speed and predictive accuracy.
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will discuss SmartUQ’s tools for benefiting simulation including design of experiments (DOE), machine learning models, statistical calibration, and optimization under uncertainty. A demonstration of SmartUQ making use of data from a simulation of an Ares launch vehicle will be included in the presentation.
