{"title":"利用密度泛函理论探索AlFe3N和gfe3n作为化学环氨合成的氮载体","authors":"Ilyas Bouziani , Chaimae Elkadiri , Ghulam Abbas , Mohamed Naji , Abdessamad Faik","doi":"10.1016/j.surfin.2025.107054","DOIUrl":null,"url":null,"abstract":"<div><div>The urgent demand for sustainable ammonia production has motivated the exploration of alternatives to the energy-intensive Haber–Bosch process. In this study, density functional theory (DFT) calculations were employed to evaluate the catalytic performance of iron-based antiperovskite nitrides, AlFe<sub>3</sub>N and GaFe<sub>3</sub>N, for green ammonia synthesis via chemical looping. Stability analyses, including phonon dispersion, AIMD simulations, and elastic constants, confirm the dynamic, thermal, and mechanical robustness of both materials. Electronic structure results reveal metallic and ferromagnetic behavior, with a weaker Fe–N bond in GaFe<sub>3</sub>N due to the higher electronegativity of Ga, which enhances charge transfer and surface reactivity. Thermodynamic calculations show that both hydrogenation and (nitridation) are spontaneous at low temperatures, with negative Gibbs free energy values up to 248 K for AlFe<sub>3</sub>N and 415 K for GaFe<sub>3</sub>N. Surface analysis identifies the (111) facet as the most reactive, where Ga-based nitride demonstrates stronger H<sub>2</sub> adsorption (-3.828 eV) and a more exothermic nitrogen vacancy formation energy (-2.429 eV) than Al-based nitride, while the latter shows slightly stronger N<sub>2</sub> adsorption (-1.405 eV). The associative Mars–van Krevelen mechanism is energetically more favorable for GaFe<sub>3</sub>N, confirming its enhanced catalytic performance. These findings highlight the critical role of material composition in tuning catalytic behavior and establish AlFe<sub>3</sub>N and GaFe<sub>3</sub>N as promising catalysts for low-temperature, sustainable ammonia synthesis. Looking ahead, the integration of high-throughput screening with machine learning is expected to accelerate the discovery of efficient nitride-based catalysts for green ammonia production.</div></div>","PeriodicalId":22081,"journal":{"name":"Surfaces and Interfaces","volume":"72 ","pages":"Article 107054"},"PeriodicalIF":6.3000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring AlFe3N and GaFe3N as nitrogen carriers for chemical looping ammonia synthesis via density functional theory\",\"authors\":\"Ilyas Bouziani , Chaimae Elkadiri , Ghulam Abbas , Mohamed Naji , Abdessamad Faik\",\"doi\":\"10.1016/j.surfin.2025.107054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The urgent demand for sustainable ammonia production has motivated the exploration of alternatives to the energy-intensive Haber–Bosch process. In this study, density functional theory (DFT) calculations were employed to evaluate the catalytic performance of iron-based antiperovskite nitrides, AlFe<sub>3</sub>N and GaFe<sub>3</sub>N, for green ammonia synthesis via chemical looping. Stability analyses, including phonon dispersion, AIMD simulations, and elastic constants, confirm the dynamic, thermal, and mechanical robustness of both materials. Electronic structure results reveal metallic and ferromagnetic behavior, with a weaker Fe–N bond in GaFe<sub>3</sub>N due to the higher electronegativity of Ga, which enhances charge transfer and surface reactivity. Thermodynamic calculations show that both hydrogenation and (nitridation) are spontaneous at low temperatures, with negative Gibbs free energy values up to 248 K for AlFe<sub>3</sub>N and 415 K for GaFe<sub>3</sub>N. Surface analysis identifies the (111) facet as the most reactive, where Ga-based nitride demonstrates stronger H<sub>2</sub> adsorption (-3.828 eV) and a more exothermic nitrogen vacancy formation energy (-2.429 eV) than Al-based nitride, while the latter shows slightly stronger N<sub>2</sub> adsorption (-1.405 eV). The associative Mars–van Krevelen mechanism is energetically more favorable for GaFe<sub>3</sub>N, confirming its enhanced catalytic performance. These findings highlight the critical role of material composition in tuning catalytic behavior and establish AlFe<sub>3</sub>N and GaFe<sub>3</sub>N as promising catalysts for low-temperature, sustainable ammonia synthesis. Looking ahead, the integration of high-throughput screening with machine learning is expected to accelerate the discovery of efficient nitride-based catalysts for green ammonia production.</div></div>\",\"PeriodicalId\":22081,\"journal\":{\"name\":\"Surfaces and Interfaces\",\"volume\":\"72 \",\"pages\":\"Article 107054\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Surfaces and Interfaces\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468023025013082\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surfaces and Interfaces","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468023025013082","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Exploring AlFe3N and GaFe3N as nitrogen carriers for chemical looping ammonia synthesis via density functional theory
The urgent demand for sustainable ammonia production has motivated the exploration of alternatives to the energy-intensive Haber–Bosch process. In this study, density functional theory (DFT) calculations were employed to evaluate the catalytic performance of iron-based antiperovskite nitrides, AlFe3N and GaFe3N, for green ammonia synthesis via chemical looping. Stability analyses, including phonon dispersion, AIMD simulations, and elastic constants, confirm the dynamic, thermal, and mechanical robustness of both materials. Electronic structure results reveal metallic and ferromagnetic behavior, with a weaker Fe–N bond in GaFe3N due to the higher electronegativity of Ga, which enhances charge transfer and surface reactivity. Thermodynamic calculations show that both hydrogenation and (nitridation) are spontaneous at low temperatures, with negative Gibbs free energy values up to 248 K for AlFe3N and 415 K for GaFe3N. Surface analysis identifies the (111) facet as the most reactive, where Ga-based nitride demonstrates stronger H2 adsorption (-3.828 eV) and a more exothermic nitrogen vacancy formation energy (-2.429 eV) than Al-based nitride, while the latter shows slightly stronger N2 adsorption (-1.405 eV). The associative Mars–van Krevelen mechanism is energetically more favorable for GaFe3N, confirming its enhanced catalytic performance. These findings highlight the critical role of material composition in tuning catalytic behavior and establish AlFe3N and GaFe3N as promising catalysts for low-temperature, sustainable ammonia synthesis. Looking ahead, the integration of high-throughput screening with machine learning is expected to accelerate the discovery of efficient nitride-based catalysts for green ammonia production.
期刊介绍:
The aim of the journal is to provide a respectful outlet for ''sound science'' papers in all research areas on surfaces and interfaces. We define sound science papers as papers that describe new and well-executed research, but that do not necessarily provide brand new insights or are merely a description of research results.
Surfaces and Interfaces publishes research papers in all fields of surface science which may not always find the right home on first submission to our Elsevier sister journals (Applied Surface, Surface and Coatings Technology, Thin Solid Films)