| Study on mechanical properties of polyethylene with chain branching in atomic scale by molecular dynamics simulation L Liao, C Huang, C Meng Molecular Simulation 44 (12), 1016-1024, 2018 | 24 | 2018 |
| Multi-fidelity neural optimization machine for Digital Twins J Chen, C Meng, Y Gao, Y Liu Structural and Multidisciplinary Optimization 65 (12), 340, 2022 | 16 | 2022 |
| Thermal decomposition behaviour of polyethylene in oxygen-free and low oxygen content circumstances by reactive molecular dynamic simulation L Liao, C Meng, C Huang Molecular Simulation 44 (12), 954-964, 2018 | 15 | 2018 |
| Modeling plasticity of cubic crystals using a nonlocal lattice particle method C Meng, H Wei, H Chen, Y Liu Computer Methods in Applied Mechanics and Engineering 385, 114069, 2021 | 14 | 2021 |
| Crack growth-based life prediction for additively manufactured metallic materials considering surface roughness K Kethamukkala, C Meng, J Chen, Y Liu International Journal of Fatigue 176, 107914, 2023 | 10 | 2023 |
| Modeling elasticity of cubic crystals using a novel nonlocal lattice particle method H Chen, C Meng, Y Liu Computational Mechanics 69 (5), 1131-1146, 2022 | 9 | 2022 |
| Study on failure mechanism of Cu-polyethylene-Cu sandwich structure by molecular dynamics simulation C Meng, L Liao, C Huang Computational Materials Science 154, 315-324, 2018 | 9 | 2018 |
| Image-based study on fatigue crack initiation mechanism of Ti-6Al-4V fabricated by laser-based powder bed fusion C Meng, J Chen, L Hase, Y Liu Additive Manufacturing 86, 104216, 2024 | 7* | 2024 |
| Damage-augmented nonlocal lattice particle method for fracture simulation of solids C Meng, Y Liu International Journal of Solids and Structures 243, 111561, 2022 | 7 | 2022 |
| Data-driven approaches for fatigue prediction of Ti–6Al–4V parts fabricated by laser powder bed fusion R Balamurugan, J Chen, C Meng, Y Liu International Journal of Fatigue 182, 108167, 2024 | 6 | 2024 |
| Effectiveness of coarse graining degree and speedup on the dynamic properties of homopolymer L Liao, C Meng, C Huang Journal of Molecular Modeling 27, 1-9, 2021 | 6 | 2021 |
| Physics-Based and Data-Driven Models for Microstructure-Sensitive Material Failure Prediction C Meng Arizona State University, 2023 | 2 | 2023 |
| MFEA-Net: A pixel-adaptive multigrid finite element analysis neural network for efficient material response prediction C Meng, H Yao, Y Liu Neurocomputing, 129657, 2025 | 1 | 2025 |
| A multigrid finite element neural network for efficient material response prediction C Meng, Y Liu AIAA SCITECH 2023 Forum, 0770, 2023 | 1 | 2023 |
| Probabilistic Fatigue Life Prediction of AM-Built Alloy Using Physics-Guided Neural Network R Balamurugan, J Chen, C Meng, Y Liu AIAA SCITECH 2025 Forum, 0822, 2025 | | 2025 |
| Multi-Fidelity Data Aggregation for Information Fusion in Simulation and Experiment J Chen, C Meng, Y Gao, Y Liu AIAA SCITECH 2023 Forum, 2023 | | 2023 |
| Imaging-Based Fatigue Mechanism Investigation of Additively Manufactured Ti-6Al-4V J Chen, C Meng, Y Liu ASME International Mechanical Engineering Congress and Exposition 85574 …, 2021 | | 2021 |
| Molecular Dynamics Simulations on the Tensile Deformation and Failure of a Polyethylene/Copper Interface L Liao, C Meng, C Huang International Design Engineering Technical Conferences and Computers and …, 2018 | | 2018 |
