层次嵌入球体模型:可解释的ML引导的多层次描述器 工程解码TM@MO2催化剂上的OER活动
Ziyuan Li1, Shan Gao1, Yunhan Wang1
1School of Physical Science and Technology, Ningbo University, Ningbo, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|December 19, 2025
概括
一个新的层次嵌入球体模型 (HESM) 通过结合电子结构和局部协调来预测过渡金属氧化物中的催化活性. 这种方法有助于设计高效的电催化剂.
科学领域:
- 材料科学 材料科学 材料科学
- 计算化学的计算化学
- 催化剂是一种催化剂.
背景情况:
- 由于交织在一起的几何和电子因素,预测过渡金属氧化物中的催化活性是复杂的.
- 开发可通用的氧化物电催化剂描述符对于催化剂设计至关重要.
研究的目的:
- 引入一个分层嵌入球体模型 (HESM),集成密度函数理论 (DFT) 和可解释机器学习 (IML).
- 为氧化物电催化剂建立一个可通用的描述器框架.
- 将催化活动分离为等级贡献.
主要方法:
- 密度函数理论 (DFT) 的计算.
- 可解释机器学习 (IML) 模型.
- 层次嵌入球体模型 (HESM) 用于分析过渡金属合酶MO2 (101) 表面.
主要成果:
- HESM将催化活动分解为全球电子结构 (G类),原子位点内在性质 (A类) 和局部协调 (L类).
- 确定了两个激活范式:多潘特诱导的电子调制 (Rh@MO2) 和主机位置协调调 (Fe@ZrO2).
- 沙普利添加式扩张 (SHAP) 分析显示,G类是关键的预测特征.
结论:
- 在复杂的氧化物系统中,HESM为描述器发现和催化剂设计提供了可通用的方法.
- 该模型成功地将吸附能量与多尺度几何电子合相结合.
- 这一框架协调了活动趋势,并解释了催化过程中取决于地点的偏差.
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