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Changyu Meng
Changyu Meng
ASM, Arizona State University
Verified email at asm.com
Title
Cited by
Cited by
Year
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
202018
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
122018
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
112021
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
72022
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
72018
Multi-fidelity neural optimization machine for Digital Twins
J Chen, C Meng, Y Gao, Y Liu
Structural and Multidisciplinary Optimization 65 (12), 340, 2022
62022
Damage-augmented nonlocal lattice particle method for fracture simulation of solids
C Meng, Y Liu
International Journal of Solids and Structures 243, 111561, 2022
42022
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
42021
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
32023
Physics-based and Data-driven Models for Microstructure-sensitive Material Failure Prediction
C Meng
Arizona State University, 2023
12023
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
2024
A multigrid finite element neural network for efficient material response prediction
C Meng, Y Liu
AIAA SCITECH 2023 Forum, 0770, 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
A Nonlocal Damage-enhanced Lattice Particle Model for Ductile Fracture Analysis
C Meng, Y Liu
arXiv preprint arXiv:2108.01214, 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
Mfea-Net: A Pixel-Adaptive Multigrid Finite Element Analysis Neural Network for Efficient Material Response Prediction
C Meng, H Yao, Y Liu
Available at SSRN 4734587, 0
Image-Based Study on Fatigue Crack Initiation Mechanism of Ti-6al-4v Fabricated by Laser Powder Bed Fusion
C Meng, J Chen, L Hase, Y Liu
Available at SSRN 4592317, 0
Multi-Fidelity Data Aggregation for Information Fusion in Simulation and Experiment
J Chen, C Meng, Y Gao, Y Liu
AIAA SCITECH 2023 Forum, 0
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