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Introduction to Data-Driven Optimization of Materials and Structures  

Yu, Seung-Hwa (한국과학기술원 기계공학과)
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Computational Structural Engineering / v.35, no.1, 2022 , pp. 11-16 More about this Journal
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Charles Yang+, Youngsoo Kim+, Seunghwa Ryu*, and Grace Gu*, "Prediction of composite microstructure stress-strain curves using convolutional neural networks", Materials & Design 189, 108509 (2020).   DOI
2 Youngsoo Kim, Jiyoung Jung, Sangryun Lee, Issam Doghri*, and Seunghwa Ryu*, "Adaptive Affine Homogenization Method for Visco-hyperelastic Composites with Interfacial Damage", Applied Mathematical Modelling, accepted (2022).
3 Jiyoung Jung, Yongtae Kim, Jinkyoo Park, and Seunghwa Ryu, "Transfer learning for enhancing the homogenization-theory-based prediction of elasto-plastic response of particle/fiber-reinforced composites", Composite Structures 285, 115210 (2022).   DOI
4 Kundo Park+, Youngsoo Kim+, Minki Kim, Chihyeon Song, Jinkyoo Park, and Seunghwa Ryu, "Designing staggered platelet composite structure with Gaussian Process Regression based Bayesian optimization", Composites Science and Technology 22, 109254 (2022).
5 Yongtae Kim, Charles Yang, Youngsoo Kim, Grace Gu, and Seunghwa Ryu*, "Designing Adhesive Pillar Shape with Deep Learning-Based Optimization", ACS Applied Materials & Interface 12, 24458 (2020).   DOI
6 Jiyoung Jung, Youngsoo Kim, Sangryun Lee, Issam Doghri*, and Seunghwa Ryu*, "Improved incrementally affine method for viscoelastic-viscoplastic composite by utilizing an adaptive scheme", under review with Composite Structures. https://engrxiv.org/preprint/view/1709.
7 Yongtae Kim+, Youngsoo Kim+, Charles Yang, Kundo Park, Grace X. Gu, and Seunghwa Ryu*, "Deep Learning Framework for Material Design Space Exploration using Active Transfer Learning and Data Augmentation", npj Computational Materials 4, 140 (2021).