3 papers
physics.comp-ph2025
Point-wise Diffusion Models for Physical Systems with Shape Variations: Application to Spatio-temporal and Large-scale system
Jiyong Kim, Sunwoong Yang, Namwoo Kang
This study introduces a novel point-wise diffusion model that processes spatio-temporal points independently to efficiently predict complex physical systems with shape variations.…
physics.comp-ph2024
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…
cs.CE2024
Dominant Design Prediction with Phylogenetic Networks
Youwei He, Jeong-Dong Lee, Dawoon Jeong +2
This study proposes an effective method to predict technology development from an evolutionary perspective. Product evolution is the result of technological evolution and market se…