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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Surrogate-Based Time- Dependent Reliability Analysis for a Digital Twin Hu, Weifei; Yan, Jiquan; Zhao, Feng; Jiang, Chen; Liu, Hongwei; Cho, Hyunkyoo; Lee, Ikjin, JOURNAL OF MECHANICAL DESIGN, v.145, no.9, 2023-09 | |
| Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review Lee, Junhyeong; Park, Donggeun; Lee, Mingyu; Lee, Hugon; Park, Kundo; Lee, Ikjin; Ryu, Seunghwa, MATERIALS HORIZONS, v.10, no.12, pp.5436 - 5456, 2023-12 | |
| Consecutive adaptive Kriging method for high-dimensional reliability analysis based on multi-fidelity framework Park, Youngseo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.67, no.1, 2024-01 | |
| Uncertainty‐oriented thermoelastic topology optimization with stress constraint Cheng, Changzheng; Yang, Bo; Wang, Xuan; Lee, Ikjin, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, v.125, no.10, 2024-02 | |
| A survey on design optimization of battery electric vehicle components, systems, and management Acar, Erdem; Jain, Naman; Ramu, Palaniappan; Hwang, ChulHyun; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.67, no.3, 2024-03 | |
| A comprehensive multi-fidelity surrogate framework based on Gaussian process for datasets with heterogeneous responses Lee, Juyoung; Lee, Min Gyu; Lee, Bong Jae; Lee, Ikjin, Knowledge-Based Systems, v.295, 2024-07 | |
| Enhancing Injection Molding Optimization for SFRPs Through Multi‐Fidelity Data‐Driven Approaches Incorporating Prior Information in Limited Data Environments Lee, Hugon; Lee, Min Gyu; Jung, Jiyoung; Lee, Ikjin; Ryu, Seunghwa, Advanced Theory and Simulations, 2024 | |
| An effective active learning strategy for reliability-based design optimization under multiple simulation models Yang, Seonghyeok; Lee, Mingyu; Jung, Yongsu; Cho, Hyunkyoo; Hu, Weifei; Lee, Ikjin, STRUCTURAL SAFETY, v.107, 2024-03 |
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