:ZnxCryOz

Yulan Han1,2, Jiayan Xu2, Jiawei Wu2

  • 1School of Physical Science and Technology, ShanghaiTech University, Shanghai, China.

概括

本研究介绍了一种机器学习潜力 (MLP) 辅助的框架,用于在现实条件下模拟催化剂活性位点的形成. 该研究确定了用于合成气转换的ZnxCr_yO_z催化剂的特定活性位点,改进了催化剂设计.

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