| Graph networks as a universal machine learning framework for molecules and crystals C Chen, W Ye, Y Zuo, C Zheng, SP Ong Chemistry of Materials 31 (9), 3564-3572, 2019 | 909 | 2019 |
| A critical review of machine learning of energy materials C Chen, Y Zuo, W Ye, X Li, Z Deng, SP Ong Advanced Energy Materials 10 (8), 1903242, 2020 | 405 | 2020 |
| Deep neural networks for accurate predictions of crystal stability W Ye, C Chen, Z Wang, IH Chu, SP Ong Nature communications 9 (1), 3800, 2018 | 253 | 2018 |
| Learning properties of ordered and disordered materials from multi-fidelity data C Chen, Y Zuo, W Ye, X Li, SP Ong Nature Computational Science 1 (1), 46-53, 2021 | 132 | 2021 |
| Accelerating materials discovery with Bayesian optimization and graph deep learning Y Zuo, M Qin, C Chen, W Ye, X Li, J Luo, SP Ong Materials Today 51, 126-135, 2021 | 81 | 2021 |
| Elucidating Structure–Composition–Property Relationships of the β-SiAlON:Eu2+ Phosphor Z Wang, W Ye, IH Chu, SP Ong Chemistry of Materials 28 (23), 8622-8630, 2016 | 56 | 2016 |
| Versatile microfluidic droplets array for bioanalysis SW Hu, BY Xu, W Ye, XH Xia, HY Chen, JJ Xu ACS applied materials & interfaces 7 (1), 935-940, 2015 | 44 | 2015 |
| Harnessing the Materials Project for machine-learning and accelerated discovery W Ye, C Chen, S Dwaraknath, A Jain, SP Ong, KA Persson MRS Bulletin 43 (9), 664-669, 2018 | 30 | 2018 |
| Functional reactive polymer electrospun matrix V Agarwal, D Ho, D Ho, Y Galabura, F Yasin, P Gong, W Ye, R Singh, ... ACS applied materials & interfaces 8 (7), 4934-4939, 2016 | 26 | 2016 |
| A universal machine learning model for elemental grain boundary energies W Ye, H Zheng, C Chen, SP Ong Scripta Materialia 218, 114803, 2022 | 14 | 2022 |
| Multi-fidelity Graph Networks for Machine Learning the Experimental Properties of Ordered and Disordered Materials C Chen, Y Zuo, W Ye, X Li, SP Ong arXiv preprint arXiv:2005.04338, 2020 | 1 | 2020 |
| Deep Neural Networks for Accurate Predictions of Garnet Stability W Ye, C Chen, Z Wang, IH Chu, SP Ong arXiv preprint arXiv:1712.01908, 2017 | 1 | 2017 |
| Domain-Knowledge-Guided Machine Learning Towards Accurate Materials Property Prediction and Materials Discovery W Ye University of California, San Diego, 2021 | | 2021 |
| Multi-fidelity Graph Networks for Deep Learning the Experimental Properties of Ordered and Disordered Materials C Chen, Y Zuo, W Ye, X Li, SP Ong arXiv preprint arXiv:2005.04338, 2020 | | 2020 |
| Supplementary Information Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals C Chen, W Ye, Y Zuo, C Zheng, SP Ong | | |
