{"title":"利用 Ab Initio 大规范蒙特卡洛对 Cl 在 Pt(111) 和 Pt(100) 上的吸附进行研究","authors":"Eun Mi Kim, Junseok Kim, Kristen A. Fichthorn","doi":"10.1016/j.susc.2024.122647","DOIUrl":null,"url":null,"abstract":"<div><div>We used <em>ab initio</em> grand-canonical Monte Carlo (AIGCMC) simulations based on plane-wave density-functional theory to probe the structures and surface energies of Pt(100) and Pt(111) with adsorbed chlorine. For Pt(100), we considered both the (1 × 1) surface and a (5 × 1) reconstruction, as a model for the experimentally observed “hex” reconstruction of Pt(100). We constructed phase diagrams of the surface energies as function of the Cl chemical potential and identified the most relevant surfaces. For Pt(100), we find the hex reconstruction is favored at low Cl chemical potentials and that Cl adsorption lifts the reconstruction. The progression of ordered structures predicted for this surface is: bare (5 × 1) Pt(100), Θ = 1/2 (1 × 1) Pt(100), and Θ = 2/3 (1 × 1) Pt(100), where Θ is the fractional surface coverage of Cl. All these structures are seen experimentally. We also observe a structure with Θ = 3/4 and intermixing between Pt and Cl on Pt(100) that is related to the structure at Θ = 2/3. For Pt(111), we find a progression of (3 × 3) unit cells at Θ = 1/9, 1/3, 4/9, 5/9, and 2/3. The structures at Θ = 1/3 and 4/9 have been proposed experimentally and most experiments predict a series of (3 × 3) unit cells with increasing Cl coverage. If intermixing between Cl and Pt does not occur in experiment, then we find a (4 × 2) Cl structure at Θ = 1/2 is energetically favored, as is observed in experiment. A strength of AIGCMC is the capability to identify relevant structures, including disordered structures, without predefined input. This increases the chance of having high fidelity to experiment and identifying relevant substrates for applications.</div></div>","PeriodicalId":22100,"journal":{"name":"Surface Science","volume":"752 ","pages":"Article 122647"},"PeriodicalIF":2.1000,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study of Cl adsorption on Pt(111) and Pt(100) using Ab Initio Grand-canonical Monte Carlo\",\"authors\":\"Eun Mi Kim, Junseok Kim, Kristen A. Fichthorn\",\"doi\":\"10.1016/j.susc.2024.122647\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We used <em>ab initio</em> grand-canonical Monte Carlo (AIGCMC) simulations based on plane-wave density-functional theory to probe the structures and surface energies of Pt(100) and Pt(111) with adsorbed chlorine. For Pt(100), we considered both the (1 × 1) surface and a (5 × 1) reconstruction, as a model for the experimentally observed “hex” reconstruction of Pt(100). We constructed phase diagrams of the surface energies as function of the Cl chemical potential and identified the most relevant surfaces. For Pt(100), we find the hex reconstruction is favored at low Cl chemical potentials and that Cl adsorption lifts the reconstruction. The progression of ordered structures predicted for this surface is: bare (5 × 1) Pt(100), Θ = 1/2 (1 × 1) Pt(100), and Θ = 2/3 (1 × 1) Pt(100), where Θ is the fractional surface coverage of Cl. All these structures are seen experimentally. We also observe a structure with Θ = 3/4 and intermixing between Pt and Cl on Pt(100) that is related to the structure at Θ = 2/3. For Pt(111), we find a progression of (3 × 3) unit cells at Θ = 1/9, 1/3, 4/9, 5/9, and 2/3. The structures at Θ = 1/3 and 4/9 have been proposed experimentally and most experiments predict a series of (3 × 3) unit cells with increasing Cl coverage. If intermixing between Cl and Pt does not occur in experiment, then we find a (4 × 2) Cl structure at Θ = 1/2 is energetically favored, as is observed in experiment. A strength of AIGCMC is the capability to identify relevant structures, including disordered structures, without predefined input. This increases the chance of having high fidelity to experiment and identifying relevant substrates for applications.</div></div>\",\"PeriodicalId\":22100,\"journal\":{\"name\":\"Surface Science\",\"volume\":\"752 \",\"pages\":\"Article 122647\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Surface Science\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0039602824001985\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surface Science","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0039602824001985","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
A study of Cl adsorption on Pt(111) and Pt(100) using Ab Initio Grand-canonical Monte Carlo
We used ab initio grand-canonical Monte Carlo (AIGCMC) simulations based on plane-wave density-functional theory to probe the structures and surface energies of Pt(100) and Pt(111) with adsorbed chlorine. For Pt(100), we considered both the (1 × 1) surface and a (5 × 1) reconstruction, as a model for the experimentally observed “hex” reconstruction of Pt(100). We constructed phase diagrams of the surface energies as function of the Cl chemical potential and identified the most relevant surfaces. For Pt(100), we find the hex reconstruction is favored at low Cl chemical potentials and that Cl adsorption lifts the reconstruction. The progression of ordered structures predicted for this surface is: bare (5 × 1) Pt(100), Θ = 1/2 (1 × 1) Pt(100), and Θ = 2/3 (1 × 1) Pt(100), where Θ is the fractional surface coverage of Cl. All these structures are seen experimentally. We also observe a structure with Θ = 3/4 and intermixing between Pt and Cl on Pt(100) that is related to the structure at Θ = 2/3. For Pt(111), we find a progression of (3 × 3) unit cells at Θ = 1/9, 1/3, 4/9, 5/9, and 2/3. The structures at Θ = 1/3 and 4/9 have been proposed experimentally and most experiments predict a series of (3 × 3) unit cells with increasing Cl coverage. If intermixing between Cl and Pt does not occur in experiment, then we find a (4 × 2) Cl structure at Θ = 1/2 is energetically favored, as is observed in experiment. A strength of AIGCMC is the capability to identify relevant structures, including disordered structures, without predefined input. This increases the chance of having high fidelity to experiment and identifying relevant substrates for applications.
期刊介绍:
Surface Science is devoted to elucidating the fundamental aspects of chemistry and physics occurring at a wide range of surfaces and interfaces and to disseminating this knowledge fast. The journal welcomes a broad spectrum of topics, including but not limited to:
• model systems (e.g. in Ultra High Vacuum) under well-controlled reactive conditions
• nanoscale science and engineering, including manipulation of matter at the atomic/molecular scale and assembly phenomena
• reactivity of surfaces as related to various applied areas including heterogeneous catalysis, chemistry at electrified interfaces, and semiconductors functionalization
• phenomena at interfaces relevant to energy storage and conversion, and fuels production and utilization
• surface reactivity for environmental protection and pollution remediation
• interactions at surfaces of soft matter, including polymers and biomaterials.
Both experimental and theoretical work, including modeling, is within the scope of the journal. Work published in Surface Science reaches a wide readership, from chemistry and physics to biology and materials science and engineering, providing an excellent forum for cross-fertilization of ideas and broad dissemination of scientific discoveries.