| Spiderweb nanomechanical resonators via bayesian optimization: inspired by nature and guided by machine learning D Shin*, A Cupertino*, MHJ de Jong, PG Steeneken, MA Bessa+, ... Advanced Materials 34 (3), 2106248, 2022 | 59 | 2022 |
| Higher order analysis of thin-walled beams with axially varying quadrilateral cross sections IS Choi, GW Jang, S Choi, D Shin, YY Kim Computers & Structures 179, 127-139, 2017 | 29 | 2017 |
| Finite element beam analysis of tapered thin-walled box beams D Shin, S Choi, GW Jang, YY Kim Thin-Walled Structures 102, 205-214, 2016 | 28 | 2016 |
| Higher-order beam theory for static and vibration analysis of composite thin-walled box beam D Shin, S Choi, GW Jang, YY Kim Composite Structures 206, 140-154, 2018 | 17 | 2018 |
| High‐Strength Amorphous Silicon Carbide for Nanomechanics M Xu, D Shin, PM Sberna, R van der Kolk, A Cupertino, MA Bessa, ... Advanced Materials 36 (5), 2306513, 2024 | 16 | 2024 |
| Data-driven approach for a one-dimensional thin-walled beam analysis D Shin, YY Kim Computers & Structures 231, 106207, 2020 | 15 | 2020 |
| Development of deep learning-based joint elements for thin-walled beam structures J Jeon, J Kim, JJ Lee, D Shin+, YY Kim+ Computers & Structures 260, 106714, 2022 | 6 | 2022 |
| A novel space-constrained vehicle suspension mechanism synthesized by a systematic design process employing topology optimization SI Kim, D Shin, SM Han, SW Kang, S Kwon, YS Yi, YY Kim Structural and Multidisciplinary Optimization 62, 1497-1517, 2020 | 6 | 2020 |
| One-dimensional analysis of thin-walled beams with diaphragms and its application to optimization for stiffness reinforcement JH Jung, GW Jang, D Shin, YY Kim Computational Mechanics 61, 331-349, 2018 | 6 | 2018 |
| Centimeter-scale nanomechanical resonators with low dissipation A Cupertino*, D Shin*, L Guo, PG Steeneken, MA Bessa+, RA Norte+ Nature Communications 15 (1), 4255, 2024 | 5 | 2024 |
| Bayesian optimization-based topology optimization using moving morphable bars for flexible structure design problems QD Tran, D Shin+, GW Jang+ Engineering Structures 300, 117103, 2024 | 4 | 2024 |
| Deep material network via a quilting strategy: visualization for explainability and recursive training for improved accuracy D Shin, R Alberdi, RA Lebensohn, R Dingreville npj Computational Materials 9 (1), 128, 2023 | 4 | 2023 |
| A deep material network approach for predicting the thermomechanical response of composites D Shin, R Alberdi, RA Lebensohn, R Dingreville Composites Part B: Engineering 272, 111177, 2024 | 3 | 2024 |
| Suspension system for vehicle D Shin, SM Han, SI Kim, SW Kang, YY Kim, YS Yi, S Kwon, SH Woo US Patent 11,214,108, 2022 | 3 | 2022 |
| Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning (Adv. Mater. 3/2022) D Shin*, A Cupertino*, MHJ de Jong, PG Steeneken, MA Bessa+, ... Advanced Materials 34 (3), 2270019, 2022 | 2 | 2022 |
| Suspension system for vehicle D Shin, SM Han, SI Kim, SW Kang, YY Kim, YS Yi, MW Kang, S Kwon US Patent 11,186,132, 2021 | 2 | 2021 |
| Beating ringdowns of near-degenerate mechanical resonances MHJ de Jong, A Cupertino, D Shin, S Gröblacher, F Alijani, PG Steeneken, ... Physical Review Applied 20 (2), 024053, 2023 | 1 | 2023 |
| Deep material network for thermal conductivity problems: Application to woven composites D Shin, PJ Creveling, SA Roberts, R Dingreville Computer Methods in Applied Mechanics and Engineering 431, 117279, 2024 | | 2024 |
| High‐Strength Amorphous Silicon Carbide for Nanomechanics (Adv. Mater. 5/2024) M Xu, D Shin, PM Sberna, R van der Kolk, A Cupertino, MA Bessa, ... Advanced Materials 36 (5), 2470034, 2024 | | 2024 |
| Data-driven Approach for the Development of a Finite Element Model for Composite Thin-walled Beam D Shin Seoul National University, 2019 | | 2019 |
Richard Alexander NorteAssociate Professor, Delft University of Technology在 tudelft.nl 的电子邮件经过验证
