Engineering lattice metamaterials for extreme property, programmability, and multifunctionality Z Jia, F Liu, X Jiang, L Wang Journal of Applied Physics 127 (15), 2020 | 110 | 2020 |
Thermodynamic analysis and performance optimization of transcritical power cycles using CO2-based binary zeotropic mixtures as working fluids for geothermal power plants C Wu, S Wang, X Jiang, J Li Applied Thermal Engineering 115, 292-304, 2017 | 73 | 2017 |
Machine learning-based design and optimization of curved beams for multistable structures and metamaterials F Liu, X Jiang, X Wang, L Wang Extreme Mechanics Letters 41, 101002, 2020 | 68 | 2020 |
The effect of material mixing on interfacial stiffness and strength of multi-material additive manufacturing F Liu, T Li, X Jiang, Z Jia, Z Xu, L Wang Additive Manufacturing 36, 101502, 2020 | 38 | 2020 |
Experimental research on water droplet erosion resistance characteristics of turbine blade substrate and strengthened layers materials J Di, S Wang, X Yan, X Jiang, J Lian, Z Zhang, Y Xie Materials 13 (19), 4286, 2020 | 6 | 2020 |
Mechanical Design Principles of Avian Eggshells for Survivability F Liu, X Jiang, Z Chen, L Wang Acta Biomaterialia, 2024 | 2 | 2024 |
Machine learning-based stiffness optimization of digital composite metamaterials with desired positive or negative Poisson's ratio X Jiang, F Liu, L Wang Theoretical and Applied Mechanics Letters 13 (6), 100485, 2023 | | 2023 |
Machine Learning Enabled Force Sensing of a Smart Skin for Robotics F Liu, G He, X Jiang, L Wang arXiv preprint arXiv:2211.00189, 2022 | | 2022 |
Developing Reprogrammable Metasurfaces with Compressed Pre-curved Beams: Theory and Applications F Liu, Z Jia, X Jiang, L Wang arXiv preprint arXiv:2211.00154, 2022 | | 2022 |
Enabling Programmable Mechanical Functions Using Mechanical Property And Geometry Tuning Approaches F Liu, X Jiang, Z Jia, L Wang arXiv preprint arXiv:2211.00137, 2022 | | 2022 |