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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Orientation Distribution Dependence of Piezoresistivity of Metal Nanowire-Polymer Composite Jung, Jiyoung; 이상륜; Pugno, Nicola M.; Ryu, Seunghwa, Multiscale Science and Engineering, v.2, no.1, pp.54 - 62, 2020-03 | |
| Investigation of thermal conductivity for liquid metal composites using the micromechanics-based mean-field homogenization theory Jung, Jiyoung; Jeong, Seung Hee; Hjort, Klas; Ryu, Seunghwa, SOFT MATTER, v.16, no.25, pp.5840 - 5847, 2020-07 | |
| Multiscale modeling framework to predict the effective stiffness of a crystalline-matrix nanocomposite Lee, Sangryun; Jung, Jiyoung; Kim, Youngsoo; Kim, Yongtae; Ryu, Seunghwa, INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE, v.161, 2021-01 | |
| Micromechanics-based prediction of the effective properties of piezoelectric composite having interfacial imperfections Lee, Sangryun; Jung, Jiyoung; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.240, 2020-05 | |
| Self-powered strain sensor based on the piezo-transmittance of a mechanical metamaterial Gu, Jimin; Ahn, Junseong; Jung, Jiyoung; Cho, Seokjoo; Choi, Jungrak; Jeong, Yongrok; Park, Jaeho; Hwang, Soonhyoung; Cho, Incheol; Ko, Jiwoo; Ha, Ji-Hwan; Zhao, Zhi-Jun; Jeon, Sohee; Ryu, Seunghwa; Jeong, Jun-Ho; Park, Inkyu, NANO ENERGY, v.89, 2021-11 | |
| 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 | |
| Transfer learning for enhancing the homogenization-theory-based prediction of elasto-plastic response of particle/short fiber-reinforced composites Jung, Jiyoung; Kim, Yongtae; Park, Jinkyoo; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.285, 2022-04 | |
| Improved incrementally affine homogenization method for viscoelastic-viscoplastic composites based on an adaptive scheme Jung, Jiyoung; Kim, Youngsoo; Lee, Sangryun; Doghri, Issam; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.297, 2022-10 | |
| Neural network-assisted optimization of segmented thermoelectric power generators using active learning based on a genetic optimization algorithm Demeke, Wabi; Kim, Yongtae; Jung, Jiyoung; Chung, Jaywan; Ryu, Byungki; Ryu, Seunghwa, ENERGY REPORTS, v.8, pp.6633 - 6644, 2022-11 | |
| 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 |
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