{"title":"空位和铑掺杂对镍基甲烷脱氢单原子催化剂的影响:基于密度泛函理论的Brønsted-Evans-Polanyi分析","authors":"Azadeh Jafarizadeh , MohammadAli Ahmadzadeh , Masoud Panjepour , S. Javad Hashemifar","doi":"10.1016/j.comptc.2025.115385","DOIUrl":null,"url":null,"abstract":"<div><div>This study used Density Functional Theory (DFT) to investigate how surface vacancies and Rhodium (Rh) doping affect methane dehydrogenation on Ni(111)-based surfaces. Four surface models were examined: pristine Ni(111), Rh-doped Ni(111), Ni(111) with a vacancy, and Rh-doped Ni(111) with a vacancy. The results revealed that surface vacancies significantly reduce the activation energy for CH decomposition, which promotes carbon accumulation (coke formation) at defect sites. Conversely, Rh doping increases the activation energy for the final CH dissociation step, thereby improving the surface's resistance to amorphous carbon deposition. Notably, combining Rh doping with a vacancy partially mitigates the coke-promoting effect of the defect, although its performance is still not as good as Rh-doped defect-free surfaces. Additionally, a consistent Brønsted–Evans–Polanyi (BEP) relationship was established across all surface models, enabling reliable prediction of activation barriers based on reaction enthalpies. Overall, Rh-doped, defect-free Ni(111) surfaces are identified as the best design for coke-resistant catalysts.</div></div>","PeriodicalId":284,"journal":{"name":"Computational and Theoretical Chemistry","volume":"1252 ","pages":"Article 115385"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating the influence of vacancy and rhodium doping on nickel-based single-atom catalysts for methane dehydrogenation: A Brønsted–Evans–Polanyi analysis via density functional theory\",\"authors\":\"Azadeh Jafarizadeh , MohammadAli Ahmadzadeh , Masoud Panjepour , S. Javad Hashemifar\",\"doi\":\"10.1016/j.comptc.2025.115385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study used Density Functional Theory (DFT) to investigate how surface vacancies and Rhodium (Rh) doping affect methane dehydrogenation on Ni(111)-based surfaces. Four surface models were examined: pristine Ni(111), Rh-doped Ni(111), Ni(111) with a vacancy, and Rh-doped Ni(111) with a vacancy. The results revealed that surface vacancies significantly reduce the activation energy for CH decomposition, which promotes carbon accumulation (coke formation) at defect sites. Conversely, Rh doping increases the activation energy for the final CH dissociation step, thereby improving the surface's resistance to amorphous carbon deposition. Notably, combining Rh doping with a vacancy partially mitigates the coke-promoting effect of the defect, although its performance is still not as good as Rh-doped defect-free surfaces. Additionally, a consistent Brønsted–Evans–Polanyi (BEP) relationship was established across all surface models, enabling reliable prediction of activation barriers based on reaction enthalpies. Overall, Rh-doped, defect-free Ni(111) surfaces are identified as the best design for coke-resistant catalysts.</div></div>\",\"PeriodicalId\":284,\"journal\":{\"name\":\"Computational and Theoretical Chemistry\",\"volume\":\"1252 \",\"pages\":\"Article 115385\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational and Theoretical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210271X25003214\",\"RegionNum\":3,\"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":"Computational and Theoretical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210271X25003214","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Investigating the influence of vacancy and rhodium doping on nickel-based single-atom catalysts for methane dehydrogenation: A Brønsted–Evans–Polanyi analysis via density functional theory
This study used Density Functional Theory (DFT) to investigate how surface vacancies and Rhodium (Rh) doping affect methane dehydrogenation on Ni(111)-based surfaces. Four surface models were examined: pristine Ni(111), Rh-doped Ni(111), Ni(111) with a vacancy, and Rh-doped Ni(111) with a vacancy. The results revealed that surface vacancies significantly reduce the activation energy for CH decomposition, which promotes carbon accumulation (coke formation) at defect sites. Conversely, Rh doping increases the activation energy for the final CH dissociation step, thereby improving the surface's resistance to amorphous carbon deposition. Notably, combining Rh doping with a vacancy partially mitigates the coke-promoting effect of the defect, although its performance is still not as good as Rh-doped defect-free surfaces. Additionally, a consistent Brønsted–Evans–Polanyi (BEP) relationship was established across all surface models, enabling reliable prediction of activation barriers based on reaction enthalpies. Overall, Rh-doped, defect-free Ni(111) surfaces are identified as the best design for coke-resistant catalysts.
期刊介绍:
Computational and Theoretical Chemistry publishes high quality, original reports of significance in computational and theoretical chemistry including those that deal with problems of structure, properties, energetics, weak interactions, reaction mechanisms, catalysis, and reaction rates involving atoms, molecules, clusters, surfaces, and bulk matter.