SmartUQ Webinar: Modern Design of Experiments, Machine Learning, and Calibration for COMSOL Simulation and Digital Twins

Getting the most out of COMSOL simulations requires efficient use of the available simulation budget as well as validating that the simulation produces results that agree with reality. This webinar will discuss the role design of experiments, predictive machine learning models (aka surrogate models), and machine learning tools such as statistical calibration play in calibrating COMSOL simulations to physical data, validating their accuracy, and maximizing the knowledge gained from their use.

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