International Journals
+ Co-first author, * Corresponding author
Published
[15] Dongil Shin, Peter J. Creveling, Scott A. Roberts, and Remi Dingreville*, "Deep material network for thermal conductivity problems: Application to woven composites”, Computer Methods in Applied Mechanics and Engineering 2024, 431, 117279
[14] Andrea Cupertino+, Dongil Shin+, Peter G. Steeneken, Leo Li Guo, Miguel A. Bessa*, Richard A. Norte*, "Centimeter-scale nanomechanical resonators", Nature Communications 2024, 15(1), 4255
· Featured in the Media, e.g., INTERESTING ENGINEERING, ScitechDaily, Physicsworld
[13] Dongil Shin, Ryan Alberdi, Ricardo A. Lebensohn, Remi Dingreville*, "A deep material network approach for predicting the thermomechanical response of composites”, Composites Part B: Engineering 2024, 272, 111177
[12] Quang Dat Tran, Dongil Shin*, Gang-Won Jang*, “Bayesian optimization-based topology optimization using moving morphable bars for flexible structure design problems”, Engineering Structures 2024, 300, 117103
[11] Minxing Xu, Dongil Shin, Paolo Sberna, Roald van der Kolk, Andrea Cupertino, Miguel A. Bessa, Richard A. Norte*, “High-Strength Amorphous Silicon Carbide for Nanomechanics”, Advanced Materials 2023, 36(5), 2306513
· Selected as the Cover Picture: https://onlinelibrary.wiley.com/doi/10.1002/adma.202470034
[10] Matthijs H.J. de Jong, Andrea Cupertino, Dongil Shin, Simon Gröblacher, Farbod Alijani, Peter G. Steeneken, Richard A. Norte*, "Beating Ringdowns of Near-Degenerate Mechanical Resonances", Physical Review Applied 2023, 20, 024053
[9] Dongil Shin, Ryan Alberdi, Ricardo A. Lebensohn, Remi Dingreville*, “Deep material network via a quilting strategy: Visualization for explainability and recursive training for improved accuracy”, npj Computational Materials 2023, 9(1), 128
[8] Jaemin Jeon, Jaeyong Kim, JongJun Lee, Dongil Shin*, Yoon Young Kim*, “Development of deep learning-based joint elements for thin-walled beam structures", Computers & Structures 2022, 260, 106714
· Awarded from conferences: Best Oral Presentation Awards (2020 KSME CAE and Applied Mechanics Division), Best Student Paper Award (ACSMO2020)
[7] Dongil Shin+, Andrea Cupertino+, Matthijs H. J. de Jong, Peter. G. Steeneken, Miguel A. Bessa*, Richard A. Norte*, “Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning”, Advanced Materials 2022, 34(3), 2106248
· Wiley, Top Downloaded Article published in 2021
· Selected as the Cover Picture for the rising star special issue: https://onlinelibrary.wiley.com/doi/10.1002/adma.202270019
· Featured in the Media, e.g. phys.org, designdevelopmenttoday, eurekalert, nanowerk, ScitechDaily, Physics World
· Awarded from conferences: Young Scientist Award (ACSMO2022), Best presentation and poster award (Engineering Mechanics Symposium 2021)
[6] Suh In Kim, Dongil Shin, Sang Min Han, Seok Won Kang, Seungmin Kwon, Yong-Sub Yi, Yoon Young Kim*, “A novel space-constrained vehicle suspension mechanism synthesized by a systematic design process employing topology optimization”, Structural and Multidisciplinary Optimization 2020, 62(3), 1497-1517
[5] Dongil Shin, Yoon Young Kim*, "Data-driven approach for a one-dimensional thin-walled beam analysis", Computers & Structures 2020, 231,106207
· Awarded from conferences: Best Poster Awards (2018 KSCM-GACM International Workshop), Silver Oral Presentation Awards (2019 KSME CAE and Applied Mechanics Division)
[4] Dongil Shin, Soomin Choi, Gang-Won Jang, Yoon Young Kim*, "Higher-order beam theory for static and vibration analysis of composite thin-walled box beam", Composite Structures 2018, 206, 140-154
· Awarded from a conference: Best Poster Awards (2018 KSCM Conference)
[3] Joon Hee Jung, Gang-Won Jang*, Dongil Shin, Yoon Young Kim, "One-dimensional analysis of thin-walled beams with diaphragms and its application to optimization for stiffness reinforcement", Computational Mechanics 2017, 61(3), 1-19
[2] In Seop Choi, Gang-Won Jang*, Soomin Choi, Dongil Shin, Yoon Young Kim, "Higher order analysis of thin-walled beams with axially varying quadrilateral cross sections", Computers & Structures 2017, 179, 127-139
[1] Dongil Shin, Soomin Choi, Gang-Won Jang, Yoon Young Kim*, "Finite element beam analysis of tapered thin-walled box beams", Thin-Walled Structures 2016, 102, 205-214
Under review
[*a] Leo Guo, Dongil Shin, Jiaxiang Yi, Sten Vollebregt, Miguel A. Bessa, GuoQi Zhang*, "Bayesian optimization with Gaussian process regression: a multi-fidelity review and comparative study"
In preparation
[*b] Dongil Shin and Remi Dingreville*, "U-net Architected Deep Material Network Training with Microstructure Local Field Information”
[*c] Noah M. Francis, Dongil Shin, Ricardo A. Lebensohn, Fatemeh Pourahmadian, and Remi Dingreville*, "Micropolar deep material network”
[*d] Daniël van Dam, Dongil Shin*, Miguel A. Bessa, Richard A. Norte*, “A suspended micro-channel resonator for living organisms in the quantum ground state”
Patents
[2] Dongil Shin, Sang Min Han, Suh In Kim, Seok Won Kang, Yoon Young Kim, Yong Sub Yi, Seungmin Kwon, Seung Hoon Woo, Suspension system for vehicle (Application: KR102586324B1, US11214108B2, CN111319412B)
[1] Dongil Shin, Sang Min Han, Suh In Kim, Seok Won Kang, Yoon Young Kim, Yong Sub Yi, Moon Won Kang, Seungmin Kwon, Suspension system for vehicle (Application: KR102563433B1, US11186132B2, CN111319411B)
International Conferences
[20] (Oral) Dongil Shin, Peter J. Creveling, Scott A. Roberts, and Remi Dingreville, “Expansion of deep material network for woven composite thermal conductivity homogenization”, WCCM/PANACM 2024 2024
[19] (Oral) Dongil Shin and Remi Dingreville, “Deep material network trained with local field information: predictions of homogenized and local field distribution”, AIM 2024 Annual Meeting 2024
[18] (Oral) Dongil Shin, Peter J. Creveling, Scott A. Roberts, and Remi Dingreville, “Thermal Conductivity Homogenization of Composites via Deep Material Network”, TMS 2024 Annual Meeting 2024
[17] (Oral) Dongil Shin, Peter J. Creveling, Scott A. Roberts, and Remi Dingreville, “Deep Material Network for Thermal Conductivity Homogenization”, MRS Fall Meeting 2023
[16] (Oral) Dongil Shin, Ryan Alberdi, Ricardo A. Lebensohn, and Remi Dingreville, "Predicting and designing the thermo-elasto-plastic response of composites using using Deep Material Network”, 2023 SES Annual Technical Meeting 2023
[15] (Oral) Dongil Shin, Ryan Alberdi, Ricardo A. Lebensohn, and Remi Dingreville, “Visualization of the Deep Material Network with Recursive Training”, COMPLAS 2023 (Invited talk)
[14] (Oral) Dongil Shin, Ryan Alberdi, Ricardo A. Lebensohn, and Remi Dingreville, "Prediction of Thermomechanical Behavior of Heterogeneous Microstructures using Deep Material Network”, USNCCM 17 2023
[13] (Oral) Dongil Shin, Ryan Alberdi, Ricardo A. Lebensohn, and Remi Dingreville, "Recursive Training for Deep Material Network and the Prediction of the Elastic-Plastic Behavior of Heterogeneous Microstructures”, MRS Spring Meeting 2023
[12] (Oral) Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter. G. Steeneken, Miguel A. Bessa, and Richard A. Norte, “Ultralow Dissipation Nanomechanical Resonator: Inspired by Spiderweb in Nature and Guided by Bayesian Optimization”, ACSMO 2022
[11] (Oral) Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter. G. Steeneken, Miguel A. Bessa, and Richard A. Norte, “Spiderweb nanomechanical resonator with a novel torsional soft clamping motion found by Bayesian optimization”, APS March Meeting 2022
[10] (Poster) Dongil Shin, Daniël van Dam, Miguel A. Bessa, Richard A. Norte, “High Qf Suspended Microchannel Resonator for Living Organisms in the Quantum Region, Physics@Veldhoven 2022
[9] (Poster) Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter. G. Steeneken, Miguel A. Bessa, and Richard A. Norte, “Nanomechanical web-like resonator with ultralow dissipation found by Bayesian optimization”, RAMSES Workshop 2021
[8] (Poster) Dongil Shin, Andrea Cupertino, Miguel Bessa, and Richard A. Norte, "Bio-inspired nano-mechanical resonators from machine-learning optimization”, Physics@Veldhoven 2021
[7] (Oral) Dongil Shin, Andrea Cupertino, Richard A. Norte, and Miguel Bessa, "Data-driven design of optomechanical device with Bayesian optimization”, 23rd Engineering Mechanics Symposium 2020
[6] (Oral) Dongil Shin and Yoon Young Kim, "Data-driven Shape Functions for Higher-order Beam Finite Element Analysis of Thin-walled Composite Beams”, USNCCM 15 2019
[5] (Poster) Dongil Shin and Yoon Young Kim, "Higher-order Beam Analysis Using Big Data", KSCM-GACM International Workshop 2018
[4] (Poster) Dongil Shin and Yoon Young Kim, "Thin-walled beam analysis based on higher-order beam theory using cross-sectional deformations identified by principal component analysis", ETME 2018 2018
[3] (Oral) Dongil Shin, Soomin Choi, Gang-Won Jang and Yoon Young Kim, "Higher-order beam theory for the structural analysis of laminated composite thin-walled box beams", ICCS20 2017
[2] (Oral) Dongil Shin, Soomin Choi, Gang-Won Jang, and Yoon Young Kim,"Finite Element Beam Analysis of FRP Composite Thin-walled Box Beams by Using Higher-order Beam Theory", WCCM & APCOM 2016 2016
[1] (Oral) Dongil Shin, Soomin Choi, Gang-Won Jang, Yoon Young Kim, "Analysis of thin-walled box beams with variable cross sections by the higher-order beam theory", ECCOMAS 2016 2016
Awards
Young Scientist Awards, 2022 ACSMO conference, Asian society of structural multidisplininary optimization (ASSMO)
Silver Oral Presentation Awards, 2019 KSME CAE and Applied Mechanics Division, The Korean Society of Mechanical Engineers (KSME)
Best Poster Awards, 2018 KSCM-GACM International Workshop, Korean Society for Computational Mechanics (KSCM) and German Association for Computational Mechanics (GACM)
Best Poster Awards, 2018 KSCM Conference, Korean Society for Computational Mechanics (KSCM)