Showing results 1 to 60 of 157
1D 나노소재 네트워크의 압저항 효과 해석을 위한 시뮬레이션 모델 연구 = (A) study on the simulation model for the analysis of piezoelectric resistance in 1D nanomaterial networkslink 여진욱; 유승화; et al, 한국과학기술원, 2021 |
A combined experimental/numerical study on the scaling of impact strength and toughness in composite laminates for ballistic applications Signetti, Stefano; Bosia, Federico; Ryu, Seunghwa; Pugno, Nicola M., COMPOSITES PART B-ENGINEERING, v.195, 2020-08 |
A feasibility study on the fracture strength measurement of polycrystalline graphene using nanoindentation with a cylindrical indenter Han, Jihoon; Ryu, Seunghwa; Sohn, Dongwoo, CARBON, v.107, pp.310 - 318, 2016-10 |
A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites Park, Donggeun; Jung, Jiyoung; Gu, Grace X.; Ryu, Seunghwa, MATERIALS & DESIGN, v.223, 2022-11 |
A gold-silicon potential fitted to the binary phase diagram Ryu, Seunghwa; Cai, Wei, JOURNAL OF PHYSICS-CONDENSED MATTER, v.22, no.5, 2010-02 |
A micromechanics-based analytical solution for the effective thermal conductivity of composites with orthotropic matrices and interfacial thermal resistance![]() Lee, Sangryun; Lee, Jinyeop; Ryu, Byungki; Ryu, Seunghwa, SCIENTIFIC REPORTS, v.8, 2018-05 |
A stretchable strain sensor based on a metal nanoparticle thin film for human motion detection Lee, Jae Hwan; Kim, Sang Hyeok; Lee, Jin Jae; Yang, Daejong; Park, BC; Ryu, Seunghwa; Park, Inkyu, NANOSCALE, v.6, no.20, pp.11932 - 11939, 2014-08 |
A study on degradation of elastic modulus of multilayered graphene in nanoindentation Im, Seyoung; Han, Jihoon; Ryu, Seunghwa; Kim, Jae-Hyun, ICCES(International Conference on Computational & Experimental Engineering and Sciences)’ 14 , ICCES, 2014-06-13 |
A Study on Dislocation Mechanisms of Toughening in Cu-Graphene Nanolayered Composite Lee, Subin; Ghaffarian, Hadi; Kim, Wonsik; Lee, Taegu; Han, Seung Min; Ryu, Seunghwa; Oh, Sang Ho, NANO LETTERS, v.22, no.1, pp.188 - 195, 2022-01 |
A three-dimensional fracture pattern diagram of staggered platelet structures Kim, Youngsoo; Jeong, Heeyeong; Gu, Grace X.; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.220, pp.769 - 775, 2019-07 |
A three-dimensional phase field model for nanowire growth by the vapor-liquid-solid mechanism Wang, Yanming; Ryu, Seunghwa; McIntyre, Paul C.; Cai, Wei, MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, v.22, no.5, 2014-07 |
A Wearable Strain Sensor by Piezoresistivity of Ag NW Network Amjadi, Morteza; Pichitpajongkit, Aekachan; Ryu, Seunghwa; Park, Inkyu, The Korean Sensors Society Meeting (KSSM), The Korean Sensors Society Meeting (KSSM), 2013-11 |
Adaptive affine homogenization method for Visco-hyperelastic composites with imperfect interface Kim, Youngsoo; Jung, Jiyoung; Lee, Sangryun; Doghri, Issam; Ryu, Seunghwa, APPLIED MATHEMATICAL MODELLING, v.107, pp.72 - 84, 2022-07 |
Ambient Humidity-Induced Phase Separation for Fiber Morphology Engineering toward Piezoelectric Self-Powered Sensing Lee, Sooun; Kim, Dabin; Lee, Sangryun; Kim, Yong-Il; Kum, Sihyeon; Kim, Sang-Woo; Kim, Yunseok; et al, SMALL, v.18, no.17, 2022-04 |
An analytical benchmark and a Mathematica program for MD codes: Testing LAMMPS on the 2nd generation Brenner potential Favata, Antonino; Micheletti, Andrea; Ryu, Seunghwa; Pugno, Nicola M., COMPUTER PHYSICS COMMUNICATIONS, v.207, pp.426 - 431, 2016-10 |
An analytical model to predict curvature effects of the carbon nanotube on the overall behavior of nanocomposites Yang, B. J.; Souri, H.; Kim, Sunghwan; Ryu, Seunghwa; Lee, Haeng-Ki, JOURNAL OF APPLIED PHYSICS, v.116, no.3, 2014-07 |
An extended analytic model for the elastic properties of platelet-staggered composites and its application to 3D printed structures Kim, Youngsoo; Kim, Yongtae; Lee, Tae-Ik; Kim, Taek-Soo; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.189, pp.27 - 36, 2018-04 |
Analysis and optimization of non-linear mechanical properties of structural composite materials using machine learning-based algorithms = 구조 복합재의 비선형 물성 분석 및 머신러닝을 활용한 최적화link Park, Kun-Do; 박건도; et al, 한국과학기술원, 2024 |
Applicability of interface spring and interphase models in micromechanics for predicting effective stiffness of polymer-matrix nanocomposite Lee, Sangryun; Jung, Jiyoung; Ryu, Seunghwa, EXTREME MECHANICS LETTERS, v.49, 2021-11 |
Applicability of the interface spring model for micromechanical analyses with interfacial imperfections to predict the modified exterior Eshelby tensor and effective modulus Lee, Sangryun; Kim, Youngsoo; Lee, Jinyeop; Ryu, Seunghwa, MATHEMATICS AND MECHANICS OF SOLIDS, v.24, no.9, pp.2944 - 2960, 2019-09 |
Atomistic modelling of the hypervelocity dynamics of shock-compressed graphite and impacted graphene armours Signetti, Stefano; Kang, Keonwook; Pugno, Nicola M.; Ryu, Seunghwa, COMPUTATIONAL MATERIALS SCIENCE, v.170, 2019-12 |
Atomistic simulation study on the crack growth stability of graphene under uniaxial tension and indentation Lee, Sangryun; Pugno, Nicola M.; Ryu, Seunghwa, MECCANICA, v.54, no.13, pp.1915 - 1926, 2019-10 |
Boundary features dictate the collective cell migration in wound closure Jeong, Hyuntae; Yeo, Jinwook; Ryu, Seunghwa; Shin, Jennifer Hyunjong, IUPESM WORLD CONGRESS 2022, Biomedical Engineering Society, 2022-06-13 |
Characterization of the misfit dislocations at the ferrite/cementite interface in pearlitic steel: An atomistic simulation study Kim, Jaemin; Kang, Keonwook; Ryu, Seunghwa, INTERNATIONAL JOURNAL OF PLASTICITY, v.83, pp.302 - 312, 2016-08 |
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 |
Computational analysis of metallic nanowire-elastomer nanocomposite based strain sensors![]() Lee, Sangryun; Amjadi, Morteza; Pugno, Nicola; Park, Inkyu; Ryu, Seunghwa, AIP ADVANCES, v.5, no.11, 2015-11 |
Computational experiments for predicting intrinsic wetting characteristics Kim, Donggyu; Ryu, Seunghwa, MRS BULLETIN, v.48, no.2, pp.106 - 107, 2023-02 |
Conductor including nano-patterned substrate and method of manufacturing the conductor Ko, Wonhee; Kim, Hyowon; Ku, Jiyeon; Kim, Donggyu; Ryu, Seunghwa; Jeong, Seongjun, 2019-06-04 |
Configurable Crack Wall Conduction in a Complex Oxide Yeo, Youngki; Hwang, Soo-Yoon; Yeo, Jinwook; Kim, Jihun; Jang, Jinhyuk; Park, Heung-Sik; Kim, Yong-Jin; et al, NANO LETTERS, v.23, no.2, pp.398 - 406, 2023-01 |
Confined cavity on a mass-producible wrinkle film promotes selective CO(2)reduction Cho, Kyeong Min; Jung, Woo-Bin; Kim, Donggyu; Kim, Ju Ye; Kim, Yesol; Yun, Geun-Tae; Ryu, Seunghwa; et al, JOURNAL OF MATERIALS CHEMISTRY A, v.8, no.29, pp.14592 - 14599, 2020-08 |
Coupled health monitoring system for CNT-doped self -sensing composites Park, Kundo; Scaccabarozzi, Diego; Sbarufatti, Claudio; Jimenez-Suarez, Aberto; Urena, Alejandro; Ryu, Seunghwa; Libonati, Flavia, CARBON, v.166, pp.193 - 204, 2020-09 |
Damage detection of composite materials via IR thermography and electrical resistance measurement: A review Park, Kundo; Lee, Junhyeong; Ryu, Seunghwa, STRUCTURAL ENGINEERING AND MECHANICS, v.80, no.5, pp.563 - 583, 2021-12 |
Deep learning framework for material design space exploration using active transfer learning and data augmentation![]() Kim, Yongtae; Kim, Youngsoo; Yang, Charles; Park, Kundo; Gu, Grace X.; Ryu, Seunghwa, NPJ COMPUTATIONAL MATERIALS, v.7, no.1, 2021-09 |
Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors Yoon, Jiyoung; Lee, Junhyeong; Kim, Giyoung; Ryu, Seunghwa; Park, Jinhyoung, SCIENTIFIC REPORTS, v.12, no.1, 2022-11 |
Delocalized Plastic Flow in Proton-Irradiated Monolithic Metallic Glasses![]() Heo, Jaewon; Kim, Sunghwan; Ryu, Seunghwa; Jang, Dongchan, SCIENTIFIC REPORTS, v.6, 2016-03 |
Design of aluminum plate phononic crystals with wide bandgaps via free-form shape optimization using deep neural networks Demeke, Wabi; Jung, Jiyoung; Song, Hyunggwi; Ryu, Byungki; Jeon, Wonju; Ryu, Seunghwa, EXTREME MECHANICS LETTERS, v.65, 2023-12 |
Designing an Adhesive Pillar Shape with Deep Learning-Based Optimization Kim, Yongtae; Yang, Charles; Kim, Youngsoo; Gu, Grace X.; Ryu, Seunghwa, ACS APPLIED MATERIALS & INTERFACES, v.12, no.21, pp.24458 - 24465, 2020-05 |
Designing directional adhesive pillars using deep learning-based optimization, 3D printing, and testing Kim, Yongtae; Yeo, Jinwook; Park, Kundo; Destree, Aymeric; Qin, Zhao; Ryu, Seunghwa, MECHANICS OF MATERIALS, v.185, 2023-10 |
Designing staggered platelet composite structure with Gaussian process regression based Bayesian optimization Park, Kundo; Kim, Youngsoo; Kim, Minki; Song, Chihyeon; Park, Jinkyoo; Ryu, Seunghwa, COMPOSITES SCIENCE AND TECHNOLOGY, v.220, 2022-03 |
Designing tough isotropic structural composite using computation, 3D printing and testing Kim, Yongtae; Kim, Youngsoo; Libonati, Flavia; Ryu, Seunghwa, COMPOSITES PART B-ENGINEERING, v.167, pp.736 - 745, 2019-06 |
Development of a generalized scaling law for underwater explosions using a numerical and experimental parametric study Kim, Yongtae; Lee, Seunggyu; Kim, Jongchul; Ryu, Seunghwa, STRUCTURAL ENGINEERING AND MECHANICS, v.77, no.3, pp.305 - 314, 2021-02 |
Direct Observation of Three-Dimensional Atomic Structure of Twinned Metallic Nanoparticles and Their Catalytic Properties Lee, Juhyeok; Jeong, Chaehwa; Lee, Taegu; Ryu, Seunghwa; Yang, Yongsoo, NANO LETTERS, v.22, no.2, pp.655 - 672, 2022-01 |
Direct strain correlations at the single-atom level in three-dimensional core-shell interface structures Jo, Hyesung; Wi, Dae Han; Lee, Taegu; Kwon, Yongmin; Jeong, Chaehwa; Lee, Juhyeok; Baik, Hionsuck; et al, NATURE COMMUNICATIONS, v.13, no.1, 2022-10 |
Divisions in a Fibrillar Adhesive Increase the Adhesive Strength Hassan, Aly; Kim, Yongtae; Ryu, Seunghwa; Hatton, Benjamin; Filleter, Tobin, ACS APPLIED MATERIALS & INTERFACES, v.13, no.49, pp.59478 - 59486, 2021-12 |
Double generative network (DGNet) pipeline for structure-property relation of digital composites Park, Donggeun; Jung, Jiyoung; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.319, 2023-09 |
Dynamical Initiation of the Synergetic Migration in Epithelial Wound Jeong, Hyuntae; Wook, Yeojin; Ryu, Seunghwa; Shin, Jennifer Hyunjong, 64th Annual Meeting of the Biophysical-Society, Biophysical Society, 2020-02-19 |
Effect of interlayer sliding on the estimation of elastic modulus of multilayer graphene in nanoindentation simulation Han, Jihoon; Ryu, Seunghwa; Kim, Dong-Kyu; Woo, Wanchuck; Sohn, Dongwoo, EPL, v.114, no.6, 2016-06 |
Effect of size and orientation on stability of dislocation networks upon torsion loading and unloading in FCC metallic micropillars Gravell, J. D.; Lee, S.; Ryu, Seunghwa; Ryu, I, ACTA MATERIALIA, v.214, 2021-08 |
Effect of surface and internal defects on the mechanical properties of metallic glasses![]() Kim, Sunghwan; Ryu, Seunghwa, SCIENTIFIC REPORTS, v.7, 2017-10 |
Effective behavior analysis of composite using homogenization and transfer learning and process optimization for injection molding based on machine learning = 균질화 이론과 전이학습을 활용한 복합재 유효 거동 해석과 기계학습 기반 사출성형 공정 최적화link Jung, Ji-Young; Ryu, Seunghwa; et al, 한국과학기술원, 2023 |
Elastic and fracture property analyses of triangular and square lattice spring models at a large deformation regime Kim, Yongtae; Kim, Youngsoo; Ryu, Seunghwa, JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.32, no.6, pp.2693 - 2706, 2018-06 |
Elastic and fracture property analyses of two-dimensional composite structure with lattice spring model = 격자 스프링 모델을 이용한 이차원 등방성 구조 복합재 구성과 해석link Kim, Yongtae; Ryu, Seunghwa; et al, 한국과학기술원, 2018 |
Electrode placement optimization for electrical impedance tomography using active transfer learning = 능동적 전이학습을 이용한 전기저항단층촬영의 전극 배치 최적화link Lee, Junhyeong; Ryu, Seunghwa; et al, 한국과학기술원, 2022 |
Energy barrier for homogeneous dislocation nucleation: Comparing atomistic and continuum models Aubry, Sylvie; Kang, Keonwook; Ryu, Seunghwa; Cai, Wei, SCRIPTA MATERIALIA, v.64, no.11, pp.1043 - 1046, 2011-06 |
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, v.7, no.8, 2024-08 |
Entropic effect on the rate of dislocation nucleation Ryu, Seunghwa; Kang, Keonwook; Cai, Wei, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.108, no.13, pp.5174 - 5178, 2011-03 |
Eshelby twist and correlation effects in diffraction from nanocrystals Leonardi, A.; Ryu, Seunghwa; Pugno, N. M.; Scardi, P., JOURNAL OF APPLIED PHYSICS, v.117, no.16, 2015-04 |
Evaluating the predictive power of machine learning model for shear transformation in metallic glasses using metrics for an imbalanced dataset Lee, Jaemin; Ryu, Seunghwa, FRONTIERS IN MATERIALS, v.9, 2022-07 |
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 |
Extreme-Pressure Imprint Lithography for Heat and Ultraviolet-Free Direct Patterning of Rigid Nanoscale Features Park, Woon Ik; Park, Tae Wan; Choi, Young Joong; Lee, Sangryun; Ryu, Seunghwa; Liang, Xiaogan; Jung, Yeon Sik, ACS NANO, v.15, no.6, pp.10464 - 10471, 2021-06 |
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