| Deep insights into the viscosity of deep eutectic solvents by an XGBoost-based model plus SHapley Additive exPlanation D Shi, F Zhou, W Mu, C Ling, T Mu, G Yu, R Li Physical Chemistry Chemical Physics 24 (42), 26029-26036, 2022 | 40 | 2022 |
| Data-driven design of double-atom catalysts with high H 2 evolution activity/CO 2 reduction selectivity based on simple features C Wei, D Shi, Z Yang, Z Xue, S Liu, R Li, T Mu Journal of Materials Chemistry A 11 (34), 18168-18178, 2023 | 5 | 2023 |
| Local dominance unveils clusters in networks D Shi, F Shang, B Chen, P Expert, L Lü, HE Stanley, R Lambiotte, ... Communications Physics 7 (1), 170, 2024 | 2 | 2024 |
| Machine learning models accelerate deep eutectic solvents discovery for the recycling of Lithium-ion battery cathodes F Zhou, D Shi, W Mu, S Wang, Z Wang, C Wei, R Li, T Mu Green Chemistry, 2024 | 1 | 2024 |
| Analysis of the oxygen evolution activity of layered double hydroxides (LDHs) using machine learning guidance C Wei, D Shi, F Zhou, Z Yang, Z Zhang, Z Xue, T Mu Physical Chemistry Chemical Physics 25 (11), 7917-7926, 2023 | 1 | 2023 |
Ruiqi LiAssociate Professor, UrbanNet Lab, College of Information Science and Technology, BUCT Beijing在 mit.edu 的电子邮件经过验证
Ruiqi LiAssociate Professor, UrbanNet Lab, College of Information Science and Technology, BUCT Beijing在 mit.edu 的电子邮件经过验证
Tiancheng MuRenmin University of China在 ruc.edu.cn 的电子邮件经过验证