A machine learning approach to predicting pore pressure response in liquefiable sands under cyclic loading. - Yongjin Choi 001; Krishna Kumar (CoRR, 2022)

Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems. - Krishna Kumar; Yongjin Choi 001 (SC Workshops, 2023)

Graph Neural Network-based surrogate model for granular flows. - Yongjin Choi 001; Krishna Kumar (CoRR, 2023)

Three-dimensional granular flow simulation using graph neural network-based learned simulator. - Yongjin Choi 001; Krishna Kumar (CoRR, 2023)

Application of Mask R-CNN and YOLOv8 Algorithms for Concrete Crack Detection. - Yongjin Choi 001; Byongkyu Bae; Taek Hee Han; Jaehun Ahn (IEEE Access, 2024)

Inverse analysis of granular flows using differentiable graph neural network simulator. - Yongjin Choi 001; Krishna Kumar (CoRR, 2024)