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20242026
most citedVehicle Suspension Recommendation System: Multi-Fidelity Neural Network-based Mechanism Design Optimization

12 citations · 28 across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

PhysicsBench: A Unified Leaderboard for Generative and Predictive Models in Engineering Design and Simulation

Sang Won Lee, Hyogu Jeong, Namwoo Kang

Generative and predictive artificial intelligence models are increasingly used to generate geometry and to predict physical fields and scalar quantities in engineering design and s…

cs.LG2026

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…

cs.LG2026

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…

cs.LG2025★ 1 cited

AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble

Dongeon Lee, Sunwoong Yang, Jae-Won Oh +3

Environmental pollution and fossil fuel depletion have prompted the need for renewable energy-based power generation. However, its stability is often challenged by low energy densi…

cs.LG2024★ 1 cited

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…

cs.LG2024★ 3 cited

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…

cs.LG2024★ 10 cited

Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions

Sumin Lee, Jihoon Kim, Namwoo Kang

Mechanisms are essential components designed to perform specific tasks in various mechanical systems. However, designing a mechanism that satisfies certain kinematic or quasi-stati…