| A coupled machine learning and genetic algorithm approach to the design of porous electrodes for redox flow batteries S Wan, X Liang, H Jiang, J Sun, N Djilali, T Zhao Applied Energy 298, 117177, 2021 | 45 | 2021 |
| Machine learning-assisted design of flow fields for redox flow batteries S Wan, H Jiang, Z Guo, C He, X Liang, N Djilali, T Zhao Energy & Environmental Science 15 (7), 2874-2888, 2022 | 31 | 2022 |
| Enhancing performance of molybdenum doped strontium ferrite electrode by surface modification through Ni infiltration J Xu, S Wan, Y Wang, S Huang, Z Yuan, F Chen, Y Zhang, T Liu International Journal of Hydrogen Energy 46 (18), 10876-10891, 2021 | 24 | 2021 |
| Microstructure evolution and kinetics of B-site nanoparticle exsolution from an A-site-deficient perovskite surface: a phase-field modeling and simulation study G Jiang, F Yan, S Wan, Y Zhang, M Yan Physical Chemistry Chemical Physics 21 (21), 10902-10907, 2019 | 14 | 2019 |
| A numerical study of infiltrated solid oxide fuel cell electrode with dual‐phase backbone S Wan, M Yan, Y Zhang International Journal of Energy Research 43 (7), 2562-2570, 2019 | 10 | 2019 |
| A transient multi-path decentralized resistance-capacity network model for prismatic lithium-ion batteries based on genetic algorithm optimization CX He, YH Liu, XY Huang, SB Wan, Q Chen, J Sun, TS Zhao Energy Conversion and Management 300, 117894, 2024 | 1 | 2024 |
