W3100989476

• Parallel implementation and performance of super-resolution generative adversarial network turbulence models for large-eddy simulation

  2024 Computers & Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access

  11

  citations
• Influence of adversarial training on super-resolution turbulence reconstruction

  2024 Physical Review Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access

  26

  citations
• Influence of adversarial training on super-resolution turbulence reconstruction

  2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

  0

  citations
• Neural Networks for Improving Wind Power Efficiency: A Review

  2022 Fluids article Engineering Wind Energy Research and Development Open access

  11

  citations
• The influence of adversarial training on turbulence closure modeling

  2022 AIAA SciTech Forum conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

  6

  citations
• Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning

  2020 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

  7

  citations

6 results