| Symmetry-aware recursive image similarity exploration for materials microscopy TNM Nguyen, Y Guo, S Qin, KS Frew, R Xu, JC Agar npj Computational Materials 7 (1), 166, 2021 | 11 | 2021 |
| Anisotropic polarization fatigue in Bi3. 15Nd0. 85Ti3O12 thin films F Yang, Y Guo, L Li, M Tang Journal of Physics D: Applied Physics 49 (19), 195305, 2016 | 10 | 2016 |
| The microstructure, energy storage and dielectric behaviours of (Ti,Zn)-doped Bi0.97Nd0.03FeO3 thin films YX Zhang, CH Yang, YC Guo, JH Song, Q Yao, ZD Yi Materials Technology 33 (1), 10-15, 2018 | 5 | 2018 |
| Why it is unfortunate that linear machine learning “works” so well in electromechanical switching of ferroelectric thin films S Qin, Y Guo, AT Kaliyev, JC Agar Advanced Materials 34 (47), 2202814, 2022 | 4 | 2022 |
| Improving the Electrical Properties of Zr-Doped Bi3.15Nd0.85Ti3O12 Thin Films by Engineering Polarization Rotation F Yang, Y Guo, Z Zong, X Hao, Y Shi, M Tang Journal of Electronic Materials 45, 3540-3545, 2016 | 3 | 2016 |
| Wallpaper group symmetry dataset based on imageNet Y Guo, J Agar Zenodo, 2021 | 2 | 2021 |
| Data Discovery and Indexing for Semi-Structured Scientific Data K Jagini, Y Zhang, Y Guo, J Goddy, D Stansberry, J Agar, J Heflin | | |
| Understanding Experimental Data by Identifying Symmetries with Deep Learning Y Guo, S Qin, J Agar AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 0 | | |
| Rapid Fitting of Band-Excitation Piezoresponse Force Microscopy Using Physics Constrained Unsupervised Neural Networks AT Kaliyev, RF Forelli, S Qin, Y Guo, S Memik, MW Mahoney, A Gholami, ... AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 0 | | |
