A machine learning shortcut for screening the spinel structures of Mg/Zn ion battery cathodes with a high conductivity and rapid ion kinetics J Cai, Z Wang, S Wu, Y Han, J Li Energy Storage Materials 42, 277-285, 2021 | 42 | 2021 |
Machine learning accelerates quantum mechanics predictions of molecular crystals Y Han, I Ali, Z Wang, J Cai, S Wu, J Tang, L Zhang, J Ren, R Xiao, Q Lu, ... Physics Reports 934, 1-71, 2021 | 41 | 2021 |
Deep learning accelerates the discovery of two‐dimensional catalysts for hydrogen evolution reaction S Wu, Z Wang, H Zhang, J Cai, J Li Energy & Environmental Materials 6 (1), e12259, 2023 | 38 | 2023 |
Machine-learning-enabled tricks of the trade for rapid host material discovery in Li–S battery H Zhang, Z Wang, J Cai, S Wu, J Li ACS applied materials & interfaces 13 (45), 53388-53397, 2021 | 36 | 2021 |
Harnessing artificial intelligence to holistic design and identification for solid electrolytes Z Wang, X Lin, Y Han, J Cai, S Wu, X Yu, J Li Nano Energy 89, 106337, 2021 | 30 | 2021 |
An ensemble learning platform for the large-scale exploration of new double perovskites Z Wang, Y Han, X Lin, J Cai, S Wu, J Li ACS Applied Materials & Interfaces 14 (1), 717-725, 2021 | 28 | 2021 |
Unsupervised discovery of thin-film photovoltaic materials from unlabeled data Z Wang, J Cai, Q Wang, SC Wu, J Li npj Computational Materials 7 (1), 128, 2021 | 28 | 2021 |
Vision for energy material design: a roadmap for integrated data-driven modeling Z Wang, Y Han, J Cai, A Chen, J Li Journal of Energy Chemistry 71, 56-62, 2022 | 23 | 2022 |
An ensemble learning classifier to discover arsenene catalysts with implanted heteroatoms for hydrogen evolution reaction A Chen, J Cai, Z Wang, Y Han, S Ye, J Li Journal of Energy Chemistry 78, 268-276, 2023 | 20 | 2023 |
AlphaMat: a material informatics hub connecting data, features, models and applications Z Wang, A Chen, K Tao, J Cai, Y Han, J Gao, S Ye, S Wang, I Ali, J Li npj Computational Materials 9 (1), 130, 2023 | 19 | 2023 |
Computational screening of spinel structure cathodes for Li-ion battery with low expansion and rapid ion kinetics Z Wang, J Cai, Y Han, T Han, A Chen, S Ye, J Liu, J Li Computational Materials Science 204, 111187, 2022 | 16 | 2022 |
In-situ growing polyaniline nano-spine array on FeVO4 nanobelts as high-performance rechargeable aluminum-ion battery cathode Y Wang, J Cai, T Han, C Hu, Y Zhu, J Li, J Liu Applied Surface Science 591, 153157, 2022 | 15 | 2022 |
DeepTMC: A deep learning platform to targeted design doped transition metal compounds Z Wang, Y Han, J Cai, S Wu, J Li Energy Storage Materials 45, 1201-1211, 2022 | 14 | 2022 |
Accelerated Mining of 2D Van der Waals Heterojunctions by Integrating Supervised and Unsupervised Learning A Chen, Z Wang, X Zhang, L Chen, X Hu, Y Han, J Cai, Z Zhou, J Li Chemistry of Materials 34 (12), 5571-5583, 2022 | 13 | 2022 |
High precision implicit function learning for forecasting supercapacitor state of health based on Gaussian process regression J Ren, J Cai, J Li Scientific Reports 11 (1), 12112, 2021 | 12 | 2021 |
Enhancing the Stability of Li-Rich Mn-Based Oxide Cathodes through Surface High-Entropy Strategy Y Yang, J Cai, Y Zuo, K Zhang, C Gao, L Zhou, Z Chen, W Chu, D Xia Energy Storage Materials, 103587, 2024 | 11 | 2024 |
Machine-learning-assisted rational design of 2D doped tellurene for fin field-effect transistor devices A Chen, S Ye, Z Wang, Y Han, J Cai, J Li Patterns 4 (4), 2023 | 11 | 2023 |
A deep transfer learning-based protocol accelerates full quantum mechanics calculation of protein Y Han, Z Wang, A Chen, I Ali, J Cai, S Ye, Z Wei, J Li Briefings in Bioinformatics 24 (1), bbac532, 2023 | 11 | 2023 |
A Data-Driven Platform for Two-Dimensional Hybrid Lead-Halide Perovskites A Chen, Z Wang, J Gao, Y Han, J Cai, S Ye, J Li ACS nano 17 (14), 13348-13357, 2023 | 10 | 2023 |
Single atom modified two-dimensional bismuthenes for toxic gas detection A Chen, Y Han, Z Wang, J Cai, S Ye, J Li Physical Chemistry Chemical Physics 25 (13), 9249-9255, 2023 | 10 | 2023 |