Congratulations to Mr Shuo ZHAI and Prof. Meng NI for their achievement!
Their research article “A combined ionic Lewis acid descriptor and machine-learning approach to the prediction of efficient oxygen reduction electrodes for ceramic fuel cells” was published in Nature Energy.
Ceramic fuel cells are promising power sources for clean power generation. The development of high performance and durable cathode materials is the key for efficient and durable ceramic fuel cells. The previous cathode material development is based on trial-and-error approach, which is time-consuming, expensive, and difficult to identify the optimal material composition.
In collaboration with Shenzhen University and Nanjing Tech University, Prof. Meng Ni’s team published their paper in Nature Energy. By an integrated approach combining machine-learning, density functional theory (DFT) computation, and experimental testing, the team successfully identified potential cathode materials for ceramic fuel cell from over 6000 possible material compositions. With the new materials, the ceramic fuel cells achieved both high performance and excellent durability. The research demonstrates a new strategy to facilitate ceramic fuel cell development for clean power generation and carbon neutrality.
Details of the paper can be found at: https://www.nature.com/articles/s41560-022-01098-3
A relevant news and views article was also published in Nature Energy: https://www.nature.com/articles/s41560-022-01112-8
The first author of this paper, Mr. Shuo Zhai, is a PhD candidate of the PolyU joint PHD program leading to dual awards, under supervision of Prof.
Meng Ni and Prof. Heping Xie. Prof. Zongping Shao from Nanjing Tech University was also involved in the supervision.
Prof. Meng Ni is a Professor of BRE and an Associate Dean (Research) of FCE. His research covers fuel cells, hydrogen production, batteries, and low-grade heat utilization. His research profile can be found at: https://research.polyu.edu.hk/en/persons/meng-ni
