| 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 | 62 | 2022 |
| 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 | 21 | 2024 |
| 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 | 9 | 2024 |
| 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 | 8 | 2023 |
| 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 | 4 | 2023 |
Ruiqi LiAssociate Professor, UrbanNet Lab, College of Information Science and Technology, BUCT BeijingVerified email at mit.edu