* Co-first authors.
2026
Kim, I. & You, D. (2026). Computational fluid dynamics for K-defense aircraft gas turbine engines: analysis and design. JMST Advances.
2025
Kim, I., Chae, J., & You, D. (2025). Automatic mesh generation for optimal CFD of a blade passage using deep reinforcement learning. Journal of Computational Physics, 541, 114306.
Hong, S.*, Kim, S.*, Kim, I.*, & You, D. (2025). Deep reinforcement learning-based control algorithm for flight kinematics of insect-scale flyers. Advances in Engineering Software, 210, 104014.
Kim, I. & You, D. (2025). Discovering optimal gas injection strategies for a fluidized bed system using deep reinforcement learning. Physics of Fluids, 37(8).
2024
Kim, I.*, Jeon, Y.*, Chae, J.*, & You, D. (2024). Deep reinforcement learning for fluid mechanics: Control, optimization, and automation. Fluids, 9(9), 216.
Kim, I., Kim, S., & You, D. (2024). Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning. Computer Physics Communications, 294, 108962.
Kim, I. & You, D. (2024). Fluid dynamic control and optimization using deep reinforcement learning. JMST Advances, 6(1), 61-65.
Jeon, Y.*, Kim, I.*, Bang, J., Koo, T., & You, D. (2024). Numerical analysis of flow-induced noise during the charging of a fuel cell electric vehicle. Journal of Mechanical Science and Technology, 38(11), 6129-6139.
2023
Kim, I., Yoon, D., Jeong, J., Kim, S., & You, D. (2023). Domain reduction strategy for large-eddy simulation to predict underwater radiated noise from a marine propeller. Ocean Engineering, 279, 114538.
2022
Kim, S.*, Kim, I.*, & You, D. (2022). Multi-condition multi-objective optimization using deep reinforcement learning. Journal of Computational Physics, 462, 111263.
2021
Jeong, J., Kim, I., Yoon, D., Kim, S., & You, D. (2021). Numerical analysis of underwater radiated noise over a marine propeller. Journal of Computational Fluids Engineering, 26(1), 17-24.