Results 11-16 of 16 (Search time: 0.005 seconds).
NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
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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 | |
Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review Lee, Junhyeong; Park, Donggeun; Lee, Mingyu; Lee, Hugon; Park, Kundo; Lee, Ikjin; Ryu, Seunghwa, MATERIALS HORIZONS, v.10, no.12, pp.5436 - 5456, 2023-12 | |
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 | |
Simple and Multiplexed Detection of Nucleic Acid Targets Based on Fluorescent Ring Patterns and Deep Learning Analysis Lee, Juhee; Lee, Taegu; Lee, Ha Neul; Kim, Hyoungsoo; Kang, Yoo Kyung; Ryu, Seunghwa; Chung, Hyun Jung, ACS APPLIED MATERIALS & INTERFACES, v.15, no.47, pp.54335 - 54345, 2023-11 | |
Hierarchical Generative Network: A Hierarchical Multitask Learning Approach for Accelerated Composite Material Design and Discovery Park, Donggeun; Lee, Jaemin; Park, Kundo; Ryu, Seunghwa, ADVANCED ENGINEERING MATERIALS, v.25, no.21, 2023-11 | |
Single-Atom Level Determination of 3-Dimensional Surface/Interface Atomic Structures via Deep Learning-Assisted Atomic Electron Tomography Lee, Juhyeok; Jo, Hyesung; Jeong, Chaehwa; Lee, Taegu; Ryu, Seunghwa; Yang, Yongsoo, MICROSCOPY AND MICROANALYSIS, v.29, no.1, pp.1384, 2023-07 |
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