11 papers
Enhancing Creativity in 3D Generative Design via a TRIZ-Inspired Text-to-CAD Framework
Dongeon Lee, Leekyo Jeong, Soyoung Yoo +2
Recent advances in large language models (LLMs) have demonstrated significant potential in supporting engineering design tasks, including computer-aided design (CAD) automation. Ho…
DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation
Soyoung Yoo, Leekyo Jeong, Jinsu Ra +4
Data-driven engineering design is constrained by the lack of large-scale 3D datasets that pair geometry with physics-based performance labels. In particular, existing 3D data augme…
A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach
Jinseong Han, Sunwoong Yang, Namwoo Kang
This study presents a large language model (LLM)-based multi-agent framework for interior permanent magnet synchronous motor (IPMSM) design optimization that mitigates limitations…
Rigid-Deformation Decomposition AI Framework for 3D Spatio-Temporal Prediction of Vehicle Collision Dynamics
Sanghyuk Kim, Minsik Seo, Sunwoong Yang +1
This study presents a rigid-deformation decomposition framework for vehicle collision dynamics that mitigates the spectral bias of implicit neural representations, that is, coordin…
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…
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.…