Namjung Kim
Namjung Kim
Sogang University · Mechanical Engineering
Professor
Prof. 김남중
Professor's page · publicationsAbout
김남중 교수 연구실(물리 및 AI 기반 지능설계 연구실)은 서강대 기계공학과 소속으로, AI 기반 구조 및 소재 설계를 연구한다. 과학기계학습(AI for Science)과 불확실성 정량화를 다룬다.
Research keywords
Recent papers
- Design and Characterization of a Tensegrity-based Strain Sensor for Large DeformationsInternational Journal of Precision Engineering and Manufacturing · Aug 5
- Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect ConnectivityAdvanced Science · Jul 30
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- Spectral coefficient learning via operator networks for inverse problems of parametric PDEsEngineering Applications of Artificial Intelligence · 2026
- Toward a Robust and Generalizable Metamaterial Foundation Modelnpj Computational Materials · 2025
- Physically interpretable discrete latent representations for the design of advanced mechanical metamaterials in complex geometriesEngineering Applications of Artificial Intelligence · 2025
- Simple arithmetic operation in latent space can generate a novel three dimensional graph metamaterialsnpj Computational Materials · 2024
- Spectral operator learning for parametric PDEs without data relianceComputer Methods in Applied Mechanics and Engineering · 2024
- Artificial intelligence in the design of innovative metamaterials: A comprehensive reviewInternational Journal of Precision Engineering and Manufacturing · 2024
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Topology Optimization in Engineering
Design and AI Lab
KAIST · Cho Chun Shik Graduate School of Mobility
Zero-shot rib design: Merging a training-free generative prior with topology optimizationAdvanced Engineering Informatics · Sep 19Hayoung Chung
Ulsan National Institute of Science and Technology (UNIST) · Mechanical Engineering
Stagewise multi-material topology optimization reducing material switching in additive manufacturingNewInternational Journal of Mechanical Sciences · Oct 19Multiscale Mechanics Lab
KAIST · Mechanical Engineering
Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active LearningAdvanced Science · Oct 4
Other labs in this department
- Bonggeun ChungRecruiting
바이오나노공학기술 / Microfluidic Chip, Nanotechnology, Biosensor
- Sungmin Kang
Seong Min Kang
멀티스케일 융합기술 / Multiscale integration and convergence
- Sungwon Kang
Seongwon Kang
열유체 다중현상 / Turbulence, combustion, and control
- Namgeun Kim
Namkeun Kim
응용역학 및 설계 / Hearing mechanics, Machine/Deep learning
- Daejoong Kim
에너지공학 / Microfluidics, energy conversion and water treatment
- Dongchul Kim
Dongchoul Kim
다중물리&다중스케일 시스템 / Computational analysis of nano- and micro-scale structures