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决定含锌三元尖晶石结构氧化物表面氧空位形成能的因素

Factors determining surface oxygen vacancy formation energy in ternary spinel structure oxides with zinc.

作者信息

Hinuma Yoyo, Mine Shinya, Toyao Takashi, Kamachi Takashi, Shimizu Ken-Ichi

机构信息

Department of Energy and Environment, National Institute of Advanced Industrial Science and Technology (AIST), 1-8-31, Midorigaoka, Ikeda 563-8577, Japan.

Center for Frontier Science, Chiba University, 1-33 Yayoicho, Inage, Chiba 263-8522, Japan.

出版信息

Phys Chem Chem Phys. 2021 Oct 27;23(41):23768-23777. doi: 10.1039/d1cp03657b.

Abstract

Spinel oxides are an important class of materials for heterogeneous catalysis including photocatalysis and electrocatalysis. The surface O vacancy formation energy () is a critical quantity for catalyst performance because the surface of metal oxide catalysts often acts as a reaction site, for example, in the Mars-van Krevelen mechanism. However, experimental evaluation of is very challenging. We obtained the for (100), (110), and (111) surfaces of normal zinc-based spinel oxides ZnAlO, ZnGaO, ZnInO, ZnVO, ZnCrO, ZnMnO, ZnFeO, and ZnCoO. The most stable surface is (100) for all compounds. The smallest for a surface is the largest in the (100) surface except for ZnCoO. For (100) and (110) surfaces, there is a good correlation, over all spinels, between the smallest for the surface and bulk formation energy, while the ionization potential correlates well in (111) surfaces. Machine learning over of all surface sites in all orientations and for all compounds to find the important factors, or descriptors, that decide the revealed that bulk and surface-dependent descriptors are the most important, namely the bulk formation energy, a Boolean descriptor of whether the surface is (111) or not, and the ionization potential, followed by geometrical descriptors that are different in each O site.

摘要

尖晶石氧化物是用于多相催化(包括光催化和电催化)的一类重要材料。表面氧空位形成能()对于催化剂性能而言是一个关键量,因为金属氧化物催化剂的表面常常充当反应位点,例如在Mars-van Krevelen机理中。然而,对的实验评估极具挑战性。我们获得了普通锌基尖晶石氧化物ZnAlO、ZnGaO、ZnInO、ZnVO、ZnCrO、ZnMnO、ZnFeO和ZnCoO的(100)、(110)和(111)表面的。对于所有化合物而言,最稳定的表面是(100)。除ZnCoO外,表面最小的在(100)表面最大。对于(100)和(110)表面,在所有尖晶石中,表面最小的与体相形成能之间存在良好的相关性,而在(111)表面,电离势具有良好的相关性。通过对所有化合物所有取向的所有表面位点的进行机器学习,以找出决定的重要因素或描述符,结果表明,与体相和表面相关的描述符最为重要,即体相形成能、表面是否为(111)的布尔描述符以及电离势,其次是每个氧位点不同的几何描述符。

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