All Stories

  1. Convolutional autoencoder-augmented sparse identification of noisy nonlinear fluid dynamics from unlabelled data

    Article • Physics of Fluids, September 2025, American Institute of Physics

    Professor HeeChang LIM

  2. Numerical prediction of flow-induced noise in a simple cavity using random vibroacoustics and structural-acoustic reciprocity

    Article • Physics of Fluids, July 2025, American Institute of Physics

    Professor HeeChang LIM

  3. Flow field recovery in restricted domains using a generative adversarial network framework

    Article • Physics of Fluids, December 2024, American Institute of Physics

    Professor HeeChang LIM

  4. Self-supervised learning for effective denoising of flow fields

    Article • Physics of Fluids, October 2024, American Institute of Physics

    Professor HeeChang LIM

  5. Optimizing flow control with deep reinforcement learning: Plasma actuator placement around a square cylinder

    Article • Physics of Fluids, December 2023, American Institute of Physics

    Professor HeeChang LIM

  6. A Swin-transformer-based model for efficient compression of turbulent flow data

    Article • Physics of Fluids, August 2023, American Institute of Physics

    Professor HeeChang LIM

  7. Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation-based transfer learning

    Article • Physics of Fluids, December 2022, American Institute of Physics

    Professor HeeChang LIM

  8. Investigation of flow characteristics around a freely falling rigid sphere in a bounded fluid domain employing the shear stress transport k−ω improved delayed detached eddy simulation model

    Article • Physics of Fluids, January 2022, American Institute of Physics

    Professor HeeChang LIM

  9. Reduced-order modeling for turbulent wake of a finite wall-mounted square cylinder based on artificial neural network

    Article • Physics of Fluids, January 2022, American Institute of Physics

    Professor HeeChang LIM

  10. Super-resolution reconstruction of turbulent flow fields at various Reynolds numbers based on generative adversarial networks

    Article • Physics of Fluids, January 2022, American Institute of Physics

    Professor HeeChang LIM

  11. High-fidelity reconstruction of turbulent flow from spatially limited data using enhanced super-resolution generative adversarial network

    Article • Physics of Fluids, December 2021, American Institute of Physics

    Professor HeeChang LIM

  12. Improved delayed detached-eddy simulation and proper orthogonal decomposition analysis of turbulent wake behind a wall-mounted square cylinder

    Article • AIP Advances, April 2021, American Institute of Physics

    Professor HeeChang LIM

  13. Interference effects of three consecutive wall-mounted cubes placed in deep turbulent boundary layer

    Article • Journal of Fluid Mechanics, September 2014, Cambridge University Press

    Professor HeeChang LIM