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사진
Lee, Ikjin (이익진)
교수, (기계공학과)

http://idol.kaist.ac.kr/

Research Area
Mechanical Engineering, Design Optimization, Reliability Analysis and Design
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    Auxetic kirigami structure-based self-powered strain sensor with customizable performance using machine learning

    Gu J.; Jung Y.; Ahn J.; et al, Nano Energy, v.130, 2024-11

    2
    An automated framework for material property calibration in loudspeaker simulation model

    Kim, Minjik; Kook, Junghwan; Andersen, Peter Risby; et al, Advances in Engineering Software, v.197, pp.103748, 2024-11

    3
    Multi-fidelity Gaussian process modeling of a thin-walled structure for laser powder bed fusion (LPBF) process window

    Song, Yeo-Ul; Song, Byeong Uk; Jung, Min-Kyo; et al, JOURNAL OF MANUFACTURING PROCESSES, v.127, pp.107 - 114, 2024-10

    4
    Modified Structure of Deep Neural Network for Training Multi-Fidelity Data With Non-Common Input Variables

    Jo H.; Song B.-U.; Huh J.-Y.; et al, Journal of Mechanical Design, v.146, no.10, 2024-10

    5
    An efficient multi-fidelity design optimization framework for a thermoelectric generator system

    Lee M.; Jung Y.; Hwang C.; et al, Energy Conversion and Management, v.315, 2024-09

    6
    Statistical model calibration of correlated unknown model variables through identifiability improvement

    Choo, Jeonghwan; Jung, Yongsu; Jo, Hwisang; et al, Probabilistic Engineering Mechanics, v.77, pp.103670, 2024-07

    7
    A comprehensive multi-fidelity surrogate framework based on Gaussian process for datasets with heterogeneous responses

    Lee, Juyoung; Lee, Min Gyu; Lee, Bong Jae; et al, KNOWLEDGE-BASED SYSTEMS, v.295, 2024-07

    8
    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; et al, ADVANCED THEORY AND SIMULATIONS, v.7, no.8, 2024-05

    9
    Surrogate model-based method for reliability-oriented buckling topology optimization under random field load uncertainty

    Yang, Bo; Wang, Xuan; Cheng, Changzheng; et al, STRUCTURES, v.63, 2024-05

    10
    Uncertainty‐oriented thermoelastic topology optimization with stress constraint

    Cheng, Changzheng; Yang, Bo; Wang, Xuan; et al, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, v.125, no.10, 2024-05

    11
    A survey on design optimization of battery electric vehicle components, systems, and management

    Acar, Erdem; Jain, Naman; Ramu, Palaniappan; et al, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.67, no.3, 2024-03

    12
    An effective active learning strategy for reliability-based design optimization under multiple simulation models

    Yang, Seonghyeok; Lee, Mingyu; Jung, Yongsu; et al, STRUCTURAL SAFETY, v.107, 2024-03

    13
    Optimization Framework of Fusion Sensor Layout for General Outpost Scientific Guard Surveillance

    Jeong, Jaeyoung; Yang, Seonghyeok; Baek, Seungho; et al, TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, v.48, no.2, pp.139 - 146, 2024-02

    14
    A novel sampling method for adaptive gradient-enhanced Kriging

    Lee, Mingyu; Noh, Yoojeong; Lee, Ikjin, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.418, 2024-01

    15
    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

    16
    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; et al, MATERIALS HORIZONS, v.10, no.12, pp.5436 - 5456, 2023-12

    17
    Surrogate-Based Time- Dependent Reliability Analysis for a Digital Twin

    Hu, Weifei; Yan, Jiquan; Zhao, Feng; et al, JOURNAL OF MECHANICAL DESIGN, v.145, no.9, 2023-09

    18
    A nonlinearity integrated bi-fidelity surrogate model based on nonlinear mapping

    Li, Kunpeng; Li, Qingye; Lv, Liye; et al, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.66, no.9, 2023-09

    19
    Distribution estimation of Johnson-Cook parameters considering correlation in quasi-static state

    Choo, Jeonghwan; Jung, Yongsu; Jo, Hwisang; et al, INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, v.244, 2023-04

    20
    A new sampling approach for system reliability-based design optimization under multiple simulation models

    Yang, Seonghyeok; Lee, Mingyu; Lee, Ikjin, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.231, 2023-03
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