Showing results 1 to 6 of 6
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 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 |
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 |
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 |
Machine learning-enabled development of high performance gradient-index phononic crystals for energy focusing and harvesting Lee, Sangryun; Choi, Wonjae; Park, Jeong Won; Kim, Dae-Su; Nahm, Sahn; Jeon, Wonju; Gu, Grace X.; et al, NANO ENERGY, v.103, 2022-12 |
Using convolutional neural networks to predict composite properties beyond the elastic limit Yang, Charles; Kim, Youngsoo; Ryu, Seunghwa; Gu, Grace X., MRS COMMUNICATIONS, v.9, no.02, pp.609 - 617, 2019-06 |
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