| A hybrid deep learning approach for the design of 2D low porosity auxetic metamaterials C Zhang, J Xie, A Shanian, M Kibsey, YF Zhao Engineering Applications of Artificial Intelligence 123, 106413, 2023 | 7 | 2023 |
| A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling J Xie, C Zhang, M Sage, M Safdar, YF Zhao International Journal of Production Research 62 (12), 4181-4201, 2024 | 5 | 2024 |
| Fairness-and uncertainty-aware data generation for data-driven design J Xie, C Zhang, L Sun, YF Zhao International Design Engineering Technical Conferences and Computers and …, 2023 | 4 | 2023 |
| Variant design generation and machine learning aided deformation prediction for auxetic metamaterials C Zhang, A Ridard, M Kibsey, YF Zhao Mechanics of Materials 181, 104642, 2023 | 3 | 2023 |
| Differentiable Surrogate Models for Design and Trajectory Optimization of Auxetic Soft Robots C Zhang, A Sedal, YF Zhao 2023 IEEE International Conference on Soft Robotics (RoboSoft), 1-8, 2023 | 1 | 2023 |
| A critical review on the application of machine learning in supporting auxetic metamaterial design C Zhang, YF Zhao Journal of Physics: Materials, 2024 | | 2024 |
