Publication

*: Equally contributed; Bold: current (or former) lab members 

2024

J9. SI Jang*, S Han*, JG Kim, J Choi, S Rhim, and JH Choi, SID-Net: Machine learning based system identification framework for rigid and flexible multibody dynamics, revised.

J8. JY Lee*, S Han*, MY Kim, YS Seo, JW Park, DI Park, C Park, HW Seo, JH Lee, HS Kim, J Bak, H Rodrigue, JG Kim, J Cheong, and SH Song, Stiffness-variable morphing wheel inspired by the surface tension of a liquid drop, Science Robotics, accepted.

J7. S Han, G Orzechowski, JG Kim, and A Mikkola, Data-driven friction force prediction model for hydraulic actuators using deep neural networks, Mechanism and Machine Theory, 2024.

~ 2023

J6. S Han*, GE Jeong*, HB Lee, WS Choi, and JG Kim, Multi-body dynamics model for spent nuclear fuel transportation system under normal transport test conditions, Nuclear Engineering and Technology, 2023.

J5. MS Go, S Han, JH Lim, and JG Kim, An efficient fixed-time increment-based data-driven simulation for general multibody dynamics using deep neural networks, Engineering with Computers, 2023.

J4. HB Lee, S Han, HS Choi, and JG Kim, cNN-DP: Composite Neural Network with Differential Propagation for Impulsive Nonlinear Dynamics, Journal of Computational Physics, 2023. 

J3. S Han, HS Choi, J Choi, JH Choi, and JG Kim, A DNN-based Data-driven Modeling Employing Coarse Sample Data for Real-time Flexible Multibody Dynamics Simulation, Computer Methods in Applied Mechanics and Engineering, 2021.

J2. HS Choi, J An, S Han, JG Kim, JY Jung, J Choi, G Orzechowski, A Mikkola, and JH Choi, Data-driven simulation for general purpose multibody dynamics using deep neural networks, Multibody System Dynamics, 2020.

J1. S Han, JG Kim, J Choi, and JH Choi, Iterative coordinate reduction algorithm of flexible multibody dynamics using a posteriori eigenvalue error estimation, Applied Sciences, 2020.