金(111)上铁氧体单层摩尔纹的 DFT 研究

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL Physical Chemistry Chemical Physics Pub Date : 2024-07-01 DOI:10.1039/d4cp01546k
Eleonora Ascrizzi, Jacek Goniakowski, Jijin Yang, Stefano Agnoli, Anna Maria Ferrari
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引用次数: 0

摘要

金属氧化物是一类具有特殊催化作用的材料。其中,以金为支撑的单层氧化铁(FeO/Au)因其促进 CO 氧化以及 O2 和 H2 解离的能力而脱颖而出。在这项工作中,我们利用密度泛函理论计算来描述这种异质结构的界面特性。我们考虑了一个铁氧体/金的现实模型系统,成功地再现了实验中发现的摩尔纹。我们确定了摩尔纹高对称域的具体特征,为建立结构-活性关系和猜测表面在催化条件下的行为方式提供了坚实的基础。我们还介绍了模拟摩尔纹每个高对称性结构域的较小系统的策略,这将有助于将来模拟催化反应机制。
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DFT study of the Moiré Pattern of FeO monolayer on Au(111)
Metal oxides are a class of material of particular interest for catalytic purposes. Among them the iron oxide as a monolayer supported on gold, FeO/Au, stands out for its capability to promote the CO oxidation and the dissociation of O2 and H2. In this work, we use density functional theory calculations to characterize interfacial properties of this heterostructure. We consider a FeO/Au realistic model system, managing to reproduce the moiré pattern experimentally found. Specific features of the high-symmetry domains of the moiré are identified, providing a robust ground for establishing a structure-activity relationship and guessing how the surface would behave in catalytic conditions. We also describe a strategy to model smaller systems representative of each high-symmetry domains of the moiré, which will be useful in the future to model catalytic reaction mechanisms.
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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