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Dongil Shin
Dongil Shin
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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
502022
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
292017
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
282016
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
162018
Data-driven approach for a one-dimensional thin-walled beam analysis
D Shin, YY Kim
Computers & Structures 231, 106207, 2020
142020
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
92024
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
62022
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
62018
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
52020
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
32022
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
22024
Centimeter-scale nanomechanical resonators with low dissipation
A Cupertino*, D Shin*, L Guo, PG Steeneken, MA Bessa+, RA Norte+
arXiv preprint arXiv:2308.00611, 2023
22023
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
22023
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
22022
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
22021
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
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
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
2023
Spiderweb nanomechanicalresonator with a novel torsionalsoft clampingmotionfound by Bayesian optimization
D Shin, A Cupertino, M de Jong, P Steeneken, M Bessa, R Norte
APS March Meeting Abstracts 2022, W38. 014, 2022
2022
Data-driven Approach for the Development of a Finite Element Model for Composite Thin-walled Beam
D Shin
Seoul National University, 2019
2019
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Artículos 1–20