| Tuning the graphene mechanical anisotropy via defect engineering B Zheng, GX Gu Carbon 155, 697-705, 2019 | 45 | 2019 |
| Novel mechanical behaviors of DNA-inspired helical structures with chirality B Zheng, Y Liu, J Liu, S Yin, J Xu International Journal of Mechanical Sciences 161, 105025, 2019 | 34 | 2019 |
| Machine learning-based detection of graphene defects with atomic precision B Zheng, GX Gu Nano-micro letters 12, 1-13, 2020 | 32 | 2020 |
| Mechanical logic switches based on DNA-inspired acoustic metamaterials with ultrabroad low-frequency band gaps B Zheng, J Xu Journal of Physics D: Applied Physics 50 (46), 465601, 2017 | 25 | 2017 |
| Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO2’s Chemisorption and Diffusion in Mg-MOF-74 B Zheng, FL Oliveira, R Neumann Barros Ferreira, M Steiner, H Hamann, ... ACS nano 17 (6), 5579-5587, 2023 | 20 | 2023 |
| Outlier analysis of nonlinear solitary waves for health monitoring applications B Zheng, P Rizzo, A Nasrollahi Structural Health Monitoring 19 (4), 1160-1174, 2020 | 18 | 2020 |
| Solitary Wave in One-dimensional Buckyball System at Nanoscale J Xu, B Zheng, Y Liu Scientific Reports 6, 21052, 2016 | 18 | 2016 |
| Stress wave propagation in two-dimensional buckyball lattice J Xu, B Zheng Scientific Reports 6 (1), 37692, 2016 | 16 | 2016 |
| Quantitative tuning nanoscale solitary waves J Xu, B Zheng Carbon 111, 62-66, 2017 | 12 | 2017 |
| Designing mechanically tough graphene oxide materials using deep reinforcement learning B Zheng, Z Zheng, GX Gu npj Computational Materials 8 (1), 225, 2022 | 11 | 2022 |
| Prediction of graphene oxide functionalization using gradient boosting: implications for material chemical composition identification B Zheng, GX Gu ACS Applied Nano Materials 4 (3), 3167-3174, 2021 | 10 | 2021 |
| Enhanced stress wave attenuation of single-walled carbon nanotube lattice via mass mismatch-induced resonance B Zheng, J Xu Carbon 116, 391-397, 2017 | 9 | 2017 |
| Highly effective energy dissipation system based on one-dimensionally arrayed short single-walled carbon nanotubes J Xu, B Zheng Extreme Mechanics Letters 9, 336-341, 2016 | 9 | 2016 |
| Recovery from mechanical degradation of graphene by defect enlargement B Zheng, GX Gu Nanotechnology 31 (8), 085707, 2019 | 8 | 2019 |
| Mechanical wave propagation within nanogold granular crystals B Zheng, J Xu Extreme Mechanics Letters 15, 17-25, 2017 | 7 | 2017 |
| Stress field characteristics and collective mechanical properties of defective graphene B Zheng, GX Gu The Journal of Physical Chemistry C 124 (13), 7421-7431, 2020 | 6 | 2020 |
| Machine learning and experiments: A synergy for the development of functional materials B Zheng, Z Jin, G Hu, J Gu, SY Yu, JH Lee, GX Gu MRS Bulletin 48 (2), 142-152, 2023 | 4 | 2023 |
| Uncertainty quantification and prediction for mechanical properties of graphene aerogels via Gaussian process metamodels B Zheng, Z Zheng, GX Gu Nano Futures 5 (4), 045004, 2021 | 4 | 2021 |
| Scalable graphene defect prediction using transferable learning B Zheng, Z Zheng, GX Gu Nanomaterials 11 (9), 2341, 2021 | 3 | 2021 |
| Leveraging graph neural networks and neural operator techniques for high-fidelity mesh-based physics simulations Z Jin, B Zheng, C Kim, GX Gu APL Machine Learning 1 (4), 2023 | 2 | 2023 |
