Paper-Conference

Safe Reinforcement Learning for 3D Large Scale Constrained Layout Optimization

Point-based Diffusion Model for Predicting Spatio-Temporal Dynamics in Physical Systems

Point-based Diffusion Model for Predicting 2D Spatio-Temporal and 3D Large-Scale Physical Systems with Shape Variations

Comparative Study of Spatiotemporal Prediction Performance in 2D Cylinder Fluid Flow: Meshgraphnet vs Neural Implicit Representation

Design Optimization of OLED Display Panels for Drop Impact Resistance Using A Graph Neural Network

A Hypergraph Neural Network-Based Surrogate Model for Predicting the Durability of OLED Displays under Drop Impact

Impact Analysis using Graph Neural Networks and Node-Element Hypergraph

Large-scale Layout Optimization for Chemical Plant

Machine Learning-based Crashworthiness Prediction and Sensitivity Analysis