All Stories

  1. Output-based adaptive aerodynamic simulations using convolutional neural networks
  2. Metric-based, goal-oriented mesh adaptation using machine learning
  3. Variable-fidelity multipoint aerodynamic shape optimization with output-based adapted meshes
  4. A Machine-Learning Anisotropy Detection Algorithm for Output-Adapted Meshes
  5. Output-Based Error Estimation and Mesh Adaptation Using Convolutional Neural Networks: Application to a Scalar Advection-Diffusion Problem
  6. Output‐based mesh optimization for hybridized and embedded discontinuous Galerkin methods
  7. High-Reynolds number transitional flow simulation via parabolized stability equations with an adaptive RANS solver
  8. Output-Based Mesh Adaptation for Variable-Fidelity Multipoint Aerodynamic Optimization
  9. Discretization error control for constrained aerodynamic shape optimization
  10. Transition Prediction over Aerospace Configurations using a Non-local, Nonparallel Flow Stability Approach
  11. Airfoil Shape Optimization Using Output-Based Adapted Meshes