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    A combined ionic Lewis acid descriptor and machine-learning approach to prediction of efficient oxygen reduction electrodes for ceramic fuel cells

    Improved, highly active cathode materials are needed to promote the commercialization of ceramic fuel cell technology. However, the conventional trial-and-error process of material design, characterization and...

    Shuo Zhai, Peng Cui, Daqin Guan, Jian Wang, Siyuan Zhao… in Nature Energy (2022)