2 papers
physics.flu-dyn2024
Neural network-based closure models for large-eddy simulations with explicit filtering
Mark Benjamin, Gianluca Iaccarino
Data from direct numerical simulations of turbulent flows are commonly used to train neural network-based models as subgrid closures for large-eddy simulations; however, models wit…
cs.LG2024
A systematic dataset generation technique applied to data-driven automotive aerodynamics
Mark Benjamin, Gianluca Iaccarino
A novel strategy for generating datasets is developed within the context of drag prediction for automotive geometries using neural networks. A primary challenge in this space is co…