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Innyoung Kim
Innyoung Kim
Correu electrònic verificat a postech.ac.kr
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Multi-condition multi-objective optimization using deep reinforcement learning
S Kim, I Kim, D You
Journal of Computational Physics 462, 111263, 2022
312022
Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning
I Kim, S Kim, D You
Computer Physics Communications 294, 108962, 2024
72024
Domain reduction strategy for large-eddy simulation to predict underwater radiated noise from a marine propeller
I Kim, D Yoon, J Jeong, S Kim, D You
Ocean Engineering 279, 114538, 2023
72023
Optimal mesh generation for a non-iterative grid-converged solution of flow through a blade passage using deep reinforcement learning
I Kim, J Chae, D You
arXiv preprint arXiv:2402.15079, 2024
2*2024
Deep reinforcement learning for fluid mechanics: Control, optimization, and automation
I Kim, Y Jeon, J Chae, D You
Fluids 9 (9), 216, 2024
12024
Numerical analysis of flow-induced noise during the charging of a fuel cell electric vehicle
Y Jeon, I Kim, J Bang, T Koo, D You
Journal of Mechanical Science and Technology 38 (11), 6129-6139, 2024
2024
THEME 04 심층 강화 학습을 이용한 유체역학 제어 및 최적화
김인녕, 유동현
기계저널 64 (4), 50-53, 2024
2024
Fluid dynamic control and optimization using deep reinforcement learning
I Kim, D You
JMST Advances 6 (1), 61-65, 2024
2024
Toward automatic CFD of flow through a blade passage using deep reinforcement learning
I Kim, S Kim, D You
Bulletin of the American Physical Society, 2023
2023
Optimal mesh generation for a blade passage using deep reinforcement learning.
I Kim, S Kim, D You
CoRR, 2022
2022
선박 프로펠러에 의해 발생하는 수중방사소음에 대한 수치 해석
정재용, 김인녕, 윤대근, 김성훈, 유동현
한국전산유체공학회지 26 (1), 17-24, 2021
2021
Control of an Insect-Scale Flyer in Complex Flow Using Deep Reinforcement Learning
S Hong, S Kim, I Kim, D You
Available at SSRN 4432236, 0
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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