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”

[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)

[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

• 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)