(Manuscripts under review)
(Domestic)
51. 초경량 금속 메쉬형 SAR 안테나 반사판의 구조설계 및 동적 특성 분석
(Structural Design and Dynamic Characterization of Ultra-Lightweight Metallic Mesh SAR Antenna Reflector)
성아정, 박정훈, 오현웅, 임재혁
Journal of Aerospace System Engineering (항공우주시스템공학회), 1차 수정중
(International)
73. Ko, Hyeongseok, Jae Hyuk Lim, and Han, Jae-Hung*
Design and Flight Demonstration of an Ornithopter: Enhancing Endurance and Payload via Neural Network Surrogate-Based Optimization
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Fluid Mechanics)
72. Hong-Kyun Noh, Seungchul Lee(KAIST)* and Jae Hyuk Lim*
Sensor-Guided Physics‑informed Machine Learning for Real-Time Full‑Field Prediction of Fluid Flows
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Heat Transfer, Thruster)
71. Seong Ah Jeong, Hong-Kyun Noh, Jeong-Hoon Kim(KARI), and Jae Hyuk Lim*
Sensor-Driven Physics-Informed Real-Time Estimation of Full-Field Temperature and Thrust in a Bipropellant Thruster
70. Jeong-Hoon Park*, Seong Ah Jeong*, Su-Jang Jo(KARI), Yongkyu Park(KARI)* and Jae Hyuk Lim*
Development and Calibration of a Beam-Type Reduced-Order Model for Launch Vehicle Structural Dynamics
** Two authors equally contributed to this work.
(Multiscale modeling, Meta Structure)
69. Jeong-Hoon Park, Hong-Kyun Noh, Jin-Hyung Park*, and Jae Hyuk Lim*
Physics-Informed Deep Learning Framework for Full-Field Reconstruction of Cracked Structures via Optimal Sparse Sensing
* Corresponding Authors
(Multiscale modeling, Meta Structure)
68. Jeong-Hoon Park, Tae-Yong Park (STEPLab), Hyung-Woong Oh*(KAU), and Jae Hyuk Lim*
Development of an Equivalent Multiscale Model for Fabric-like Meta-Structures with Wire-to-Wire Contact and Sliding
* Corresponding Authors
(Multiscale Modeling, Meta-Structure, Anisotropy)
67. Jeong-Hoon Park, Il-Joon Hwang, Tae-Yong Park (STEPLab), Hyung-Woong Oh*(KAU), and Jae Hyuk Lim*
A Multiscale Continuum Homogenization Framework for the Anisotropic Elasto-Plastic Behavior of Metallic Wire-Mesh Structures, under review.
* Corresponding Authors
(FE model updating and Artificial Intelligence)
66. Seong Ah Jeong**, Hong-Kyun Noh**, Sung-Hoon Kim(i3시스템), Chang-Hyun Park(i3시스템), and Jae Hyuk Lim*
Machine Learning-Based Surrogate Modeling with Physics-Aware Sampling for Finite Element Model Updating of Structural Dynamics, under 1st revision.
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Nonlinear PDE)
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Nonlinear PDEs )
65. Hong-Kyun Noh, Jeong-Hoon Park, Min-Seok Choi (POSTECH)*, and Jae Hyuk Lim*
Real-time physics-informed reconstruction of transient fields using sensor guidance and higher-order time differentiation, under review.
https://arxiv.org/abs/2508.06070
(Manuscripts in Preparation)
(Domestic)
Not Applicable.
(International)
(Physics-informed Neural Networks, Artificial Intelligence, Foundation Model)
78. Hong-Kyun Noh, Jeong-Hoon Park, Seungchul Lee(KAIST)*, and Jae Hyuk Lim*
Generalized PINN-Based Foundation Model for Arbitrary-Shaped Beam and Plate Structures with Loading, Damping, and Variable Section Properties
77. Hong-Kyun Noh, Jeong-Hoon Park, Seungchul Lee(KAIST)*, and Jae Hyuk Lim*
Generalized PINN-Based Foundation Model for Arbitrary-Shaped Beam and Plate Structures with Loading, Damping, and Variable Section Properties
(Artificial Intelligence, Digital Twin, and Rotor Blade)
76. Hong-Kyun Noh, Jeong-Hoon Park, Taejoo Kim (KARI)*, and Jae Hyuk Lim*
Inverse Design of the Internal Structure of Composite Rotor Blades Using SHAP-Based Sensitivity Analysis with Explainable Artificial Intelligence
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Fluid Mechanics)
75. Jeong-Hoon Park*, Seong Ah Jeong*, Su-Jang Jo(KARI), Yongkyu Park(KARI)* and Jae Hyuk Lim*
Development and Calibration of a Beam-Type Reduced-Order Model for Launch Vehicle Structural Dynamics
** Two authors equally contributed to this work.
( Artificial Intelligence)
74. Jeong-Hoon Park, Hong-Kyun Noh, and Jae Hyuk Lim*
Prediction and Validation of Strongly Nonlinear Time Series Data for Flexible Structures Using Fixed-Time Increment-Based Deep Neural Networks.
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Mechanical Vibration)
73. Hong-Kyun Noh**, Jeong-Hoon Park**, Jung Woo Sohn(KMOU)*, and Jae Hyuk Lim*
"Experimental Demonstration and Validation of a PINN-Based Surrogate Model for Vibration Signal-Based Fault Diagnosis and Digital Twin"
** Two authors equally contributed to this work.