| Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks F Oviedo, Z Ren, S Sun, C Settens, Z Liu, NTP Hartono, S Ramasamy, ... npj Computational Materials 5 (1), 1-9, 2019 | 10 | 2019 |
| Accelerated development of perovskite-inspired materials via high-throughput synthesis and machine-learning diagnosis S Sun, NTP Hartono, ZD Ren, F Oviedo, AM Buscemi, M Layurova, ... Joule 3 (6), 1437-1451, 2019 | 9 | 2019 |
| Accelerating photovoltaic materials development via high-throughput experiments and machine-learning-assisted diagnosis S Sun, NTP Hartono, ZD Ren, F Oviedo, AM Buscemi, M Layurova, ... arXiv preprint arXiv:1812.01025, 2018 | 3 | 2018 |
| Polymer MEMS sensor for flow monitoring in biomedical device applications AGP Kottapalli, Z Shen, M Asadnia, S Tian, K Tao, J Miao, ... 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems …, 2017 | 3 | 2017 |
| Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks F Oviedo, Z Ren, S Sun, C Settens, Z Liu, NTP Hartono, R Savitha, ... arXiv preprint arXiv:1811.08425, 2018 | 1 | 2018 |
| Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics Z Ren, F Oviedo, M Thway, SIP Tian, Y Wang, H Xue, JD Perea, ... npj Computational Materials 6 (1), 1-9, 2020 | | 2020 |
| Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks TB Felipe Oviedo, Zekun Ren, Shijing Sun, Charlie Settens, Zhe Liu, Noor ... NeurIPS 2018, 2018 | | 2018 |
