Jiyong Kim
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    • Constraint-Aware Large-Scale 3D Layout Optimization via Hybrid Deep Reinforcement Learning
    • From Idea to Engineering-Aware Product Design: A Case Study of Toy Car Development
    • Safe Reinforcement Learning for 3D Large Scale Constrained Layout Optimization
    • 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
    • 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
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    • 실적기반 선박 엔진룸 장비 배치 알고리즘 개발
    • 차량 개발의 신속성 확보 위한 생성형 AI와 Parametric Design 연계한 클로저 시스템 설계 방법론 연구
  • News[awards]s
    • Title: Safe Reinforcement Learning for 3D Large Scale Constrained Layout Optimization
  • Publications
    • Point-based Diffusion Model for Predicting Spatio-Temporal Dynamics in Physical Systems
    • Design Optimization of OLED Display Panels for Drop Impact Resistance Using A Graph Neural Network
  • Publications
    • Point-wise Conditional Diffusion Models for Physical Systems with Shape Variations: Applications to Spatio-temporal and Large-scale Systems
    • Physics-Constrained Graph Neural Networks for Spatio-Temporal Prediction of Drop Impact on OLED Display Panels
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    • 아이디어를 현실로 만드는 Generative Manufacturing 기술개발
    • GENERATIVE DESIGN과 MESHGRAPHNET을 활용한 패널 적층 구조 최적화 요소 기술 개발
    • GENERATIVE DESIGN 기술을 활용한 기기배치 자동화 개발(알고리즘 개발)
    • TV 설계자동화 : AI GENERATIVE DESIGN 기반 설계자동화

차량 개발의 신속성 확보 위한 생성형 AI와 Parametric Design 연계한 클로저 시스템 설계 방법론 연구

June, 2025 · 1 min read

Generative AI-driven Parametric Design to Accelerate the Development of Vehicle Closure Systems (2025.6 - 2026.6)

Last updated on June, 2025
AI-Bassed Generative Design Vehicle Closure Systems
Jiyong Kim
Authors
Jiyong Kim
Ph.D. student at KAIST

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