Shisheng Zheng1, Xi-Ming Zhang2, Heng-Su Liu2

  • 1College of Energy, State Key Laboratory of Physical Chemistry of Solid Surfaces, iChEM, College of Chemistry and Chemical Engineering, College of Materials, College of Electronic Science and Engineering, College of Physical Science and Technology, Institute of Artificial Intelligence, School of Mathematical Sciences, Xiamen University, Xiamen, China. zhengss@xmu.edu.cn.

Nature communications
|March 15, 2025
PubMed
概括

这项研究引入了一个新的计算框架,用于有效地发现异质催化物的活性相. 该方法使用拓学和机器学习来建模复杂的催化系统,并预测不同条件下的材料行为.

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