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Sunyoung Im
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Surrogate modeling of elasto-plastic problems via long short-term memory neural networks and proper orthogonal decomposition
S Im, J Lee, M Cho
Computer Methods in Applied Mechanics and Engineering 385, 114030, 2021
462021
A neural network constitutive model for hyperelasticity based on molecular dynamics simulations
I Chung, S Im, M Cho
International Journal for Numerical Methods in Engineering, 2021
272021
Neural network constitutive model for crystal structures
S Im, H Kim, W Kim, M Cho
Computational Mechanics 67, 185-206, 2021
202021
Reduction process based on proper orthogonal decomposition for dual formulation of dynamic substructures
S Im, E Kim, M Cho
Computational Mechanics 64, 1237-1257, 2019
152019
Multiscale modeling to characterize electromechanical behaviors of CNT/polymer nanocomposites considering the matrix damage and interfacial debonding
W Lee, I Chung, K Baek, S Im, M Cho
Mechanics of Advanced Materials and Structures 29 (16), 2322-2341, 2022
92022
Neural network-based prediction of the long-term time-dependent mechanical behavior of laminated composite plates with arbitrary hygrothermal effects
SN Nguyen, C Truong-Quoc, J Han, S Im, M Cho
Journal of Mechanical Science and Technology 35, 4643-4654, 2021
92021
A surrogate model for real-time dynamic simulation of dielectric elastomer actuators via long short-term memory networks
C Truong-Quoc, S Im, M Cho
Mechanics of Advanced Materials and Structures 29 (27), 6860-6880, 2022
32022
Surrogate model considering trim condition for design optimization of high-aspect-ratio flexible wing
S Im, E Kim, K Park, DH Lee, S Chang, M Cho
International Journal of Aeronautical and Space Sciences 23 (2), 288-302, 2022
32022
Artificial neural network modeling of anisotropic hyperelastic materials based on computational crystal structure data
S Im, W Kim, H Kim, M Cho
AIAA Scitech 2020 Forum, 0397, 2020
32020
Contact loss and its improvement at the interface between the cathode and solid electrolyte in all solid-state batteries based on multi-scale and multi-physics analysis
T Hwang, I Chung, S Im, J Lee, M Cho, K Cho
Journal of Materials Chemistry A 11 (35), 18790-18800, 2023
12023
Discovering constitutive equations of crystal structures by sparse identification
S Im, H Kim, W Kim, H Chung, M Cho
International Journal of Mechanical Sciences 236, 107756, 2022
12022
Symmetric positive definite neural networks for a constitutive model based on molecular simulation data
임선영, 정인균, Chien Truong-Quoc조맹효
대한기계학회 CAE 및 응용역학부문 2021년 춘계학술대회, 2021
2021
멀티스케일 해석 기법을 통한 CNT/고분자 나노복합재의 기계적, 전기적 거동에 대한 연구
이원석, 정인균, 백경민, 임선영조맹효
한국전산구조공학회 2020 학술심포지엄, 2020
2020
Deep learning 과 POD를 이용한 탄소성 문제의 Non-intrusive 축소법
임선영, 이종건조맹효
대한기계학회 CAE 및 응용역학부문 2020년 춘계학술대회, 2020
2020
Molecular dynamics simulation method approach to data-driven computational hyperelasticity
MC Ingyun Chung, Sunyoung Im
The 7th Asia-Pacific Congress on Computational Mechanics(APCOM), 2019
2019
Multiscale analysis on mechanical and electrical behavior of CNT/Polymer nanocomposites considering CNT size effect
MC Wonseok Lee, Kyungmin Baek, Sunyoung Im, Ingyun Jeong
The 7th Asia-Pacific Congress on Computational Mechanics(APCOM), 2019
2019
계면 분리와 고분자 기지 데미지 현상을 고려한 CNT/고분자 나노복합재의 기계적, 전기적 거동에 대한 멀티스케일 해석
이원석, 백경민, 정인균, 임선영조맹효
대한기계학회 2019년 학술대회, 2019
2019
Multiscale analysis on mechanical and electrical behavior of CNT/Polymer nanocomposites considering CNT size effect
이원석, 백경민, 임선영, 정인균조맹효
The 6th Korea Multi-Scale Mechanics Symposium 2019, 2019
2019
Stochastic neural network constitutive modeling based on molecular dynamics simulation
임선영정인균조맹효
The 6th Korea Multi-Scale Mechanics Symposium 2019, 2019
2019
Data-driven Computational Hyperelasitc Continuum Based on Molecular Dynamics Simulation
IC Maenghyo Cho, Sunyoung Im
15th U.S. National Congress on Computational Mechanics (USNCCM15), 2019
2019
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Articles 1–20