The author emphasizes the importance of incorporating realistic uncertainties into scientific computing workflows using Matérn-type Gaussian random fields. The focus is on modeling aleatoric uncertainties to impact computational model predictions and optimized design shapes.
Incorporating Matérn-type random fields for realistic uncertainties in computational workflows.