3 citations · 5 across the 13 of their papers we have counts for
4 papers · 1 filter
Model-Agnostic AI Framework with Explicit Time Integration for Long-Term Fluid Dynamics Prediction
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
This study addresses the critical challenge of error accumulation in spatio-temporal auto-regressive (AR) predictions within scientific machine learning models by exploring tempora…
Physics-Constrained Graph Neural Networks for Spatio-Temporal Prediction of Drop Impact on OLED Display Panels
Jiyong Kim, Jangseop Park, Nayong Kim +5
This study aims to predict the spatio-temporal evolution of physical quantities observed in multi-layered display panels subjected to the drop impact of a ball. To model these comp…
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
This study aims to overcome the limitations of conventional deep-learning approaches based on convolutional neural networks in complex geometries and unstructured meshes by explori…
Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance
Sumin Lee, Sunwoong Yang, Namwoo Kang
This paper proposes a framework that optimizes the linkage mechanism of the quasi-serial manipulator for target tasks. This process is explained through a case study of 2-degree-of…