arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2102.07320cond-mat.mtrl-sci
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控制钙钛矿氧化物work functions的电子结构因素的数据驱动分析

Data-driven analysis of the electronic-structure factors controlling the work functions of perovskite oxides

Yihuang Xiong, Weinan Chen, Wenbo Guo, Hua Wei, Ismaila Dabo

摘要:

调整材料的功函数对于最大化微电子和(光)电化学装置的性能具有实际意义,因为这些系统的效率取决于控制表面处和界面上的电子水平的能力。钙钛矿是实现这种控制的有前景的化合物。在这项工作中,我们通过数据驱动(机器学习)分析检查了1,000多个钙钛矿氧化物表面(ABO $_3$)的功函数,并确定了决定其大小的因素。虽然BO $_2$ -终止表面的功函数对杂化氧p带的能量敏感,但AO-终止表面的功函数相对于B-位点原子的d带的填充及其电子亲和力表现出少得多的无关紧要的依赖性。这项研究显示了可解释的数据驱动模型在分析立方钙钛矿的功函数从有限数量的电子结构描述符的效用。

英文摘要:

Tuning the work functions of materials is of practical interest for maximizing the performance of microelectronic and (photo)electrochemical devices, as the efficiency of these systems depends on the ability to control electronic levels at surfaces and across interfaces. Perovskites are promising compounds to achieve such control. In this work, we examine the work functions of more than 1,000 perovskite oxide surfaces (ABO$_3$) by data-driven (machine-learning) analysis and identify the factors that determine their magnitude. While the work functions of BO$_2$-terminated surfaces are sensitive to the energy of the hybridized oxygen p bands, the work functions of AO-terminated surfaces exhibit a much less trivial dependence with respect to the filling of the d bands of the B-site atom and of its electronic affinity. This study shows the utility of interpretable data-driven models in analyzing the work functions of cubic perovskites from a limited number of electronic-structure descriptors.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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