DSpace at KOASAS

Researcher Page

사진
Ryu, Seunghwa (유승화)
교수, (기계공학과)

https://sites.google.com/site/seunghwalab/

Research Area
Computational Mechanics, Structural design and CAE, Multiphysics modeling
Co-researchers
    Similar researchers

    Keyword Cloud

    Reload 더보기
    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    Machine learning-based optimization of segmented thermoelectric power generators using temperature-dependent performance properties

    Demeke, Wabi; Ryu, Byungki; Ryu, Seunghwa, APPLIED ENERGY, v.355, 2024-02

    2
    Highly Sensitive Soft Pressure Sensors for Wearable Applications Based on Composite Films with Curved 3D Carbon Nanotube Structures

    Jung, Young; Gu, Jimin; Yeo, Jinwook; et al, SMALL, v.20, no.2, 2024-01

    3
    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

    4
    Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks

    Jung, Jiyoung; Park, Kundo; Cho, Byungjin; et al, JOURNAL OF INTELLIGENT MANUFACTURING, v.34, no.8, pp.3623 - 3636, 2023-12

    5
    Design of aluminum plate phononic crystals with wide bandgaps via free-form shape optimization using deep neural networks

    Demeke, Wabi; Jung, Jiyoung; Song, Hyunggwi; et al, EXTREME MECHANICS LETTERS, v.65, 2023-12

    6
    Hierarchical Generative Network: A Hierarchical Multitask Learning Approach for Accelerated Composite Material Design and Discovery

    Park, Donggeun; Lee, Jaemin; Park, Kundo; et al, ADVANCED ENGINEERING MATERIALS, v.25, no.21, 2023-11

    7
    Expanding Design Spaces in Digital Composite Materials: A Multi-Input Deep Learning Approach Enhanced by Transfer Learning and Multi-kernel Network

    Park, Donggeun; Park, Minwoo; Ryu, Seunghwa, ADVANCED THEORY AND SIMULATIONS, v.6, no.11, 2023-11

    8
    Simple and Multiplexed Detection of Nucleic Acid Targets Based on Fluorescent Ring Patterns and Deep Learning Analysis

    Lee, Juhee; Lee, Taegu; Lee, Ha Neul; et al, ACS APPLIED MATERIALS & INTERFACES, v.15, no.47, pp.54335 - 54345, 2023-11

    9
    Multi-objective Bayesian optimization for the design of nacre-inspired composites: optimizing and understanding biomimetics through AI

    Park, Kundo; Song, Chihyeon; Park, Jinkyoo; et al, MATERIALS HORIZONS, v.10, no.10, pp.4329 - 4343, 2023-10

    10
    Designing directional adhesive pillars using deep learning-based optimization, 3D printing, and testing

    Kim, Yongtae; Yeo, Jinwook; Park, Kundo; et al, MECHANICS OF MATERIALS, v.185, 2023-10

    11
    Double generative network (DGNet) pipeline for structure-property relation of digital composites

    Park, Donggeun; Jung, Jiyoung; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.319, 2023-09

    12
    High-performance piezoelectric yarns for artificial intelligence-enabled wearable sensing and classification

    Kim, Dabin; Yang, Ziyue; Cho, Jaewon; et al, ECOMAT, v.5, no.8, 2023-08

    13
    Multimodal E-Textile Enabled by One-Step Maskless Patterning of Femtosecond-Laser-Induced Graphene on Nonwoven, Knit, and Woven Textiles

    Yang, Dongwook; Nam, Han Ku; Le, Truong-Son Dinh; et al, ACS NANO, v.17, no.19, pp.18893 - 18904, 2023-08

    14
    Single-Atom Level Determination of 3-Dimensional Surface/Interface Atomic Structures via Deep Learning-Assisted Atomic Electron Tomography

    Lee, Juhyeok; Jo, Hyesung; Jeong, Chaehwa; et al, MICROSCOPY AND MICROANALYSIS, v.29, no.1, pp.1384, 2023-07

    15
    Coarse-grained modeling for predicting the piezoresistive response of CNT-elastomer nanocomposite

    Yeo, Jinwook; Jung, Jiyoung; Ryu, Seunghwa, FRONTIERS IN MATERIALS, v.10, 2023-07

    16
    Free-form optimization of pattern shape for improving mechanical characteristics of a concentric tube

    Song, Hyunggwi; Park, Eunjeong; Kim, Hong Jae; et al, MATERIALS & DESIGN, v.230, 2023-06

    17
    Computational experiments for predicting intrinsic wetting characteristics

    Kim, Donggyu; Ryu, Seunghwa, MRS BULLETIN, v.48, no.2, pp.106 - 107, 2023-02

    18
    Configurable Crack Wall Conduction in a Complex Oxide

    Yeo, Youngki; Hwang, Soo-Yoon; Yeo, Jinwook; et al, NANO LETTERS, v.23, no.2, pp.398 - 406, 2023-01

    19
    Machine learning-enabled development of high performance gradient-index phononic crystals for energy focusing and harvesting

    Lee, Sangryun; Choi, Wonjae; Park, Jeong Won; et al, NANO ENERGY, v.103, 2022-12

    20
    Mechanical failures of Two-Dimensional materials on polymer substrates

    Chae, Kwanbyung; Nguyen, Van Tu; Lee, Sangryun; et al, APPLIED SURFACE SCIENCE, v.605, 2022-12
    Load more items
    Loading...

    rss_1.0 rss_2.0 atom_1.0