,

Fangyuan Zheng1, Baoyin Yuan2, Youfeng Cai1

  • 1Huangpu Hydrogen Energy Innovation Center, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China.

Nano-micro letters
|May 23, 2025
PubMed
概括

机器学习确定了新的矿氧化物La0.9Ba0.1Co0.7Ni0.3O3-δ (LBCN9173) 和La0.9Ca0.1Co0.7Ni0.3O3-δ (LCCN9173),作为质子导体固体氧化物电解电池 (P-SOEC) 的高性能阳极. 这些阳极提高了能能源生产的效率和质子导电性.