WAN, Shuaibin
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Energy storage technology; Machine learning; Numerical modeling
harrywan@sribd.cn
EDUCATION BACKGROUND
PhD, The Hong Kong University of Science and Technology, Aug 2018 – Dec 2022
BEng, Harbin Institute of Technology, Sep 2014 – Jun 2018
BIOGRAPHY
Dr. Shuaibin Wan is currently a Research Scientist at Shenzhen Research Institute of Big Data (SRIBD). Before joining SRIBD, he obtained his BEng Degree in Material Science and Engineering from Harbin Institute of Technology and received his PhD Degree in Mechanical Engineering from The Hong Kong University of Science and Technology. His current research lies in the interdisciplinary area of mathematical modeling and energy storage systems. His research works have been published in top journals such as Energy & Environmental Science, and Applied Energy.
ACADEMIC PUBLICATIONS
Shuaibin Wan, Haoran Jiang, Zixiao Guo, Changxiang He, Xiongwei Liang, Ned Djilali, and Tianshou Zhao. Machine learning-assisted design of flow fields for redox flow batteries. Energy & Environmental Science 15, 2874-2888 (2022). [JCR Q1, IF = 39.7]
Shuaibin Wan, Xiongwei Liang, Haoran Jiang, Jing Sun, Ned Djilali, and Tianshou Zhao. A coupled machine learning and genetic algorithm approach to the design of porous electrodes for redox flow batteries. Applied Energy 298, 117177 (2021). [JCR Q1, IF = 11.4]
Jiahui Xu, Shuaibin Wan, Yao Wang, Su Huang, Zhihao Yuan, Fanglin Chen, Yanxiang Zhang, and Tong Liu. Enhancing performance of molybdenum doped strontium ferrite electrode by surface modification through Ni infiltration. International Journal of Hydrogen Energy 46 (18), 10876-10891 (2021). [JCR Q1, IF = 7.2]
Guang Jiang, Fuyao Yan, Shuaibin Wan, Yanxiang Zhang, and Mufu Yan. Microstructure evolution and kinetics of B-site nanoparticle exsolution from an A-site-deficient perovskite surface: a phase-field modeling and simulation study. Physical Chemistry Chemical Physics 21 (21), 10902-10907 (2019). [JCR Q1, IF = 3.3]
Shuaibin Wan, Mufu Yan, and Yanxiang Zhang. A numerical study of infiltrated solid oxide fuel cell electrode with dual-phase backbone. International Journal of Energy Research 43 (7), 2562-2570 (2019). [JCR Q2, IF = 4.6]
