A family of Craig-Bampton methods considering residual mode compensation. - Myeong-Seok Go; Jae Hyuk Lim; Jin-Gyun Kim; Ki-ryoung Hwang (Appl. Math. Comput., 2020)

An efficient fixed-time increment-based data-driven simulation for general multibody dynamics using deep neural networks. - Myeong-Seok Go; Seongji Han; Jae Hyuk Lim; Jin-Gyun Kim (Eng. Comput., 2024)

A rapidly trained DNN model for real-time flexible multibody dynamics simulations with a fixed-time increment. - Myeong-Seok Go; Young-Bae Kim; Jeong-Hoon Park; Jae Hyuk Lim; Jin-Gyun Kim (Eng. Comput., 2024)

Real-time monitoring of thermoelastic deformation of a silicon wafer with sparse measurements in the photolithography process using a physics-informed neural network and Fourier neural operator. - Hong-Kyun Noh; Myeong-Seok Go; Jae Hyuk Lim (Eng. Appl. Artif. Intell., 2025)