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Sang Lee

Assistant, Associate Professor

Korea Advanced Institute of Science and Technology

Research Interests

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Articles (27)

Collaborators (3)

Jeong-Seok Kim

Senior Researcher

Korea Research Institute of Ships and Ocean Engineering

Leonardo P. Chamorro

University of Illinois at Urbana-Champaign

UNITED STATES

Jung-Wuk Hong

Korea Advanced Institute of Science and Technology

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Sang Lee

Research Interests

Explore related searches

Articles (27)

Collaborators (3)

Jeong-Seok Kim

Leonardo P. Chamorro

Jung-Wuk Hong

Make your next move.

Sang Lee

Research Interests

Explore related searches

Articles (27)

Control-induced modification in a tension-leg platform floating wind turbine

Physics-guided residual learning for predicting aerodynamic characteristics of 3D wing under diverse operating conditions

Fine-scale urban wind field prediction via small-scale generator and spectral loss with rolling-out transfer learning

Joint reconstruction and temporal prediction of three-dimensional wind turbine wakes using Fourier neural operators

A coupled LES-vehicle dynamics simulation framework for quadcopter response in urban turbulent flows

Large-eddy simulation of turbulent flow and coherent structures over rotated random-height building arrays

Physical similarity and scaling laws for ground shear stress in circular twin-jet impingement flow

On low-frequency unsteadiness in shock-wave–turbulent boundary layer interaction with varying corner curvature

Control to structure pathways in the upstream TetraSpar floating wind turbine

A fully three-dimensional deep learning surrogate model for large-eddy simulation-resolved wake dynamics in wind farm

Three-dimensional primitive prediction with building embedded Swin Transformer for urban turbulence

Tail-like vortical structures in extreme turbulent kinetic energy dissipation events of wall turbulence

Large eddy simulation of wake mixing control strategies in offshore wind farms

Regression analysis of heat transfer in twin slot jet impingement with computational fluid dynamics and machine learning techniques

Channel-assisted Fourier neural operator for high-fidelity far-wake prediction of a wind turbine under yawed conditions

Suppression of pressure fluctuation and turbulent friction at the wall in spatially developing turbulent boundary layers via streamwise-traveling waves and wall oscillations

A prediction of urban boundary layer using Recurrent Neural Network and reduced order modeling

Dimensionality reduction of solution reconstruction methods for a four-point stencil

Benefits of individual pitch control on offshore wind turbine submerged in upstream wake

Control and dynamic analysis of a 10 MW floating wind turbine on a TetraSpar multi-body platform

Aerodynamic Analysis of High-Speed Compound Unmanned Rotorcraft Using an Unstructured Flow Solver

Impact of heterogeneous building arrangement on local turbulence escalation

Correction: Assessment of a High-Order High-Resolution ESWENO-P Scheme for AVI/BVI Problems

Assessment of a High-Order High-Resolution ESWENO-P Scheme for AVI/BVI Problems

Large Eddy Simulation of Yawed Wind Turbine Wake Deformation

Large Eddy Simulation of Yawed Wind Turbine Wake Deformation

Improved high-order high-resolution energy stable weighted essentially non-oscillatory plus scheme for shock/vortex problems

Collaborators (3)

Jeong-Seok Kim

Leonardo P. Chamorro

Jung-Wuk Hong

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