Publications
AI-driven Simulation and Design Lab
Name*: Contributed equally
Name: Corresponding author
Adversarial deep energy method for solving saddle point problems involving dielectric elastomers
*Seung-Woo Lee, *Chien Truong-Quoc, Youngmin Ro, and Do-Nyun Kim
Computer Methods in Applied Mechanics and Engineering, 421: 116825, (2024)
Deep learning-based detection of defects in wafer buffer zone during semiconductor packaging process
Tae-Yeon Kim, Sunjae Park, Chang-Kue Lim, Jae-Hyuk Choi, Chang-Hyun An, Lak-Hyun Song, and Do-Nyun Kim
Multiscale Science and Engineering, 6: 25-32, (2024)
Hotspot prediction: SEM image generation with potential lithography hotspots
*Jaehoon Kim, *Jaekyung Lim, Jinho Lee, Tae-Yeon Kim, Yunhyoung Nam, Kihyun Kim, and Do-Nyun Kim
IEEE Transactions on Semiconductor Manufacturing, 37: 103-114, (2024)
Controlling chiroptical responses via chemo-mechanical deformation of DNA origami structures
Taehwi Kim, Chanseok Lee, Jae Young Lee, and Do-Nyun Kim
ACS Nano, 18: 3414-3423, (2024)
Data-driven nonparametric identification of material behavior based on physics-informed neural network with full-field data
Iksu Jeong, Maenghyo Cho, Hayoung Chung, and Do-Nyun Kim
Computer Methods in Applied Mechanics and Engineering, 418: 116569, (2024)
