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 | 49 | 2021 |
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 | 28 | 2021 |
Neural network constitutive model for crystal structures S Im, H Kim, W Kim, M Cho Computational Mechanics 67, 185-206, 2021 | 21 | 2021 |
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 | 15 | 2019 |
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 | 10 | 2022 |
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 | 9 | 2021 |
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 | 3 | 2022 |
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 | 3 | 2022 |
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 | 3 | 2020 |
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 | 2 | 2023 |
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 | 2 | 2022 |
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 |