| Lattice thermal conductivity of Janus MoSSe and WSSe monolayers H Qin, K Ren, G Zhang, Y Dai, G Zhang Physical Chemistry Chemical Physics 24 (34), 20437-20444, 2022 | 18 | 2022 |
| Ultraflexible two-dimensional Janus heterostructure superlattice: a novel intrinsic wrinkled structure K Ren, G Zhang, L Zhang, H Qin, G Zhang Nanoscale 15 (19), 8654-8661, 2023 | 13 | 2023 |
| Strength criterion of graphene GBs combining discrete bond strength and varied bond stretch G Zhang, H Liu, Y Chen, H Qin, Y Liu Journal of the Mechanics and Physics of Solids 169, 105080, 2022 | 11 | 2022 |
| A unified strength criterion for two-dimensional materials via bond failure analysis G Zhang, Y Chen, S Yue, YW Zhang, H Qin, Y Liu Journal of the Mechanics and Physics of Solids 181, 105466, 2023 | 6 | 2023 |
| Temperature and defect effects on the mechanical properties of pentadiamond H Qin, G Zhang, Y Zhang, L Qin, Y Liu, QX Pei Diamond and Related Materials 118, 108523, 2021 | 5 | 2021 |
| Impacts of defects on the mechanical and thermal properties of SiC and GeC monolayers K Ren, L Huang, H Shu, G Zhang, W Mu, H Zhang, H Qin, G Zhang Physical Chemistry Chemical Physics 25 (47), 32378-32386, 2023 | 4 | 2023 |
| Exploring and understanding the multiscale mechanical degradation in graphene assemblies via practical microstructure guided modeling H Qin, W Tong, QX Pei, Z Wang, G Zhang, Y Chen, P Li, J Liu, Z Xu, Y Liu Advanced Functional Materials 33 (40), 2300210, 2023 | 3 | 2023 |
| Thermal Conductivities of PtX2 (X = S, Se, and Te) Monolayers: A Comprehensive Molecular Dynamics Study H Qin, G Zhang, K Ren, QX Pei The Journal of Physical Chemistry C 127 (17), 8411-8417, 2023 | 3 | 2023 |
| Failure prediction and optimization for composite pressure vessel combining FEM simulation and machine learning approach Q Wang, H Qin, L Jia, Z Li, G Zhang, Y Li, Y Liu Composite Structures 337, 118099, 2024 | 2 | 2024 |
| Decoding the origins of strength anisotropy in two-dimensional materials G Zhang, S Liu, H Qin, Y Liu International Journal of Solids and Structures 294, 112762, 2024 | 1 | 2024 |
| Strength prediction and design of defective graphene based on machine learning approach S Lin, G Zhang, K Li, K Pang, Y Li, J Wan, H Qin, Y Liu Extreme Mechanics Letters 70, 102191, 2024 | | 2024 |
| Prediction of allowable compression load for notched composite laminates combining FEA simulation and machine learning Z Li, H Qin, Q Wang, L Jia, G Zhang, Y Li, Y Liu Composite Structures 340, 118188, 2024 | | 2024 |
| Tunable Thermal Conductivity of Two-Dimensional SiC Nanosheets by Grain Boundaries: Implications for the Thermo-Mechanical Sensor L Huang, K Ren, G Zhang, J Wan, H Zhang, G Zhang, H Qin ACS Applied Nano Materials, 2024 | | 2024 |
| Tunable wrinkle patterns in Moiré pattern of interlayer-bonding strained bilayer graphene S Liu, Y Chen, G Zhang, Y Liu Applied Surface Science 657, 159792, 2024 | | 2024 |
| A unified strength criterion of diamane grain boundaries G Zhang, S Zhao, H Qin, Y Liu Extreme Mechanics Letters 68, 102146, 2024 | | 2024 |
