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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| 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 | |
| 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 | |
| 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 | |
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 | |
| 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 | |
| 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 | |
| Why mussel byssal plaques are tiny yet strong in attachment Qureshi, Daanish Aleem; Goffredo, Stephen; Kim, Yongtae; Han, Yulong; Guo, Ming; Ryu, Seunghwa; Qin, Zhao, MATTER, v.5, no.2, pp.710 - 724, 2022-02 | |
| 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 |
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