Publications
AI-driven Simulation and Design Lab
Name*: Contributed equally
Name: Corresponding author
Acoustic deep brain modulation: enhancing neuronal activation and neurogenesis
Hwichan Ham, Kyu-Sik Kim, Jee-Hwan Lee, Do-Nyun Kim, Hyung-Jin Choi, and Jack J. Yoh
Brain Stimulation, 17: 1060-1075, (2024)
Two-step sub-modeling framework for thermomechanical fatigue analysis of solder joints in DRAM module
Hyun Suk Lee, Giseok Yun, Ju-Hwan Song, and Do-Nyun Kim
Microelectronics Reliability, 160: 115469, (2024)
Mechanical meta-sheets with independently tunable Poisson’s ratio and coefficient of thermal expansion
*Duhwan Kang, *Jeong Min Hur, and Do-Nyun Kim
Materials & Design, 244: 113187, (2024)
Predicting the effect of binding molecules on the shape and mechanical properties of structured DNA assemblies
Jae Young Lee, Yanggyun Kim, and Do-Nyun Kim
Nature Communications, 15: 6446, (2024)
Prediction of DNA origami shape using graph neural network
*Chien Truong-Quoc, *Jae Young Lee, Kyung Soo Kim, and Do-Nyun Kim
Nature Materials, 23: 984-992, (2024)
Accelerating topology optimization using deep learning-based image super-resolution
*Jaekyung Lim, *Kyusoon Jung, Youngsuk Jung, and Do-Nyun Kim
Engineering Applications of Artificial Intelligence, 133: 108370, (2024)
DNA hydrogels with programmable condensation, expansion, and degradation for molecular carriers
Kyounghwa Jeon, Chanseok Lee, Jae Young Lee, and Do-Nyun Kim
ACS Applied Materials & Interfaces, 16: 24162–24171, (2024)
Auxetic pattern design for concentric-tube robots using an active DNN-metaheuristics optimization
Jieun Park*, Jeong Min Hur*, Soyeon Park, Do-Nyun Kim, and Gunwoo Noh
Thin-Walled Structures, 197: 111603, (2024)
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)
