Pan Deng, Xuanyu Jiang, Xiaodong Pi, Deren Yang, Tianqi Deng
{"title":"碳在3C - SiC中的间隙扩散:电荷态跃迁和熵的作用","authors":"Pan Deng, Xuanyu Jiang, Xiaodong Pi, Deren Yang, Tianqi Deng","doi":"10.1002/adts.202501088","DOIUrl":null,"url":null,"abstract":"As a radiation‐resistant wide‐bandgap semiconductor, the self‐healing capability of 3C‐SiC is highly dependent on the diffusion of carbon interstitials (C<jats:sub>i</jats:sub>). However, understanding of the thermodynamic and kinetic behaviors of C<jats:sub>i</jats:sub> diffusion under various influencing factors remains limited. In this work, first‐principles calculations reveal a strong dependence of the diffusion free‐energy barrier on charge states, Fermi level, and temperature. The entropic effects on the diffusion process at finite temperatures are systematically explored using machine learning force field and enhanced sampling techniques. Notably, appropriate n‐type doping and entropic effects contribute to the suppression of free‐energy barrier for the C<jats:sub>i</jats:sub> diffusion process. A C<jats:sub>i</jats:sub> diffusion activation temperature diagram is constructed, taking into account charge‐state transitions and entropic contributions. Furthermore, the kinetic diffusion coefficients under different conditions are quantitatively evaluated. Major native point defects have also been assessed to clarify their role in promoting or inhibiting C<jats:sub>i</jats:sub> diffusion. These findings provide a fundamental understanding of the thermodynamic and kinetic behaviors of C<jats:sub>i</jats:sub> diffusion, offering physical insights into the defect evolution in 3C‐SiC.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"35 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Carbon Interstitial Diffusion in 3C‐SiC: Role of Charge‐State Transitions and Entropy\",\"authors\":\"Pan Deng, Xuanyu Jiang, Xiaodong Pi, Deren Yang, Tianqi Deng\",\"doi\":\"10.1002/adts.202501088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a radiation‐resistant wide‐bandgap semiconductor, the self‐healing capability of 3C‐SiC is highly dependent on the diffusion of carbon interstitials (C<jats:sub>i</jats:sub>). However, understanding of the thermodynamic and kinetic behaviors of C<jats:sub>i</jats:sub> diffusion under various influencing factors remains limited. In this work, first‐principles calculations reveal a strong dependence of the diffusion free‐energy barrier on charge states, Fermi level, and temperature. The entropic effects on the diffusion process at finite temperatures are systematically explored using machine learning force field and enhanced sampling techniques. Notably, appropriate n‐type doping and entropic effects contribute to the suppression of free‐energy barrier for the C<jats:sub>i</jats:sub> diffusion process. A C<jats:sub>i</jats:sub> diffusion activation temperature diagram is constructed, taking into account charge‐state transitions and entropic contributions. Furthermore, the kinetic diffusion coefficients under different conditions are quantitatively evaluated. Major native point defects have also been assessed to clarify their role in promoting or inhibiting C<jats:sub>i</jats:sub> diffusion. These findings provide a fundamental understanding of the thermodynamic and kinetic behaviors of C<jats:sub>i</jats:sub> diffusion, offering physical insights into the defect evolution in 3C‐SiC.\",\"PeriodicalId\":7219,\"journal\":{\"name\":\"Advanced Theory and Simulations\",\"volume\":\"35 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Theory and Simulations\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/adts.202501088\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/adts.202501088","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Carbon Interstitial Diffusion in 3C‐SiC: Role of Charge‐State Transitions and Entropy
As a radiation‐resistant wide‐bandgap semiconductor, the self‐healing capability of 3C‐SiC is highly dependent on the diffusion of carbon interstitials (Ci). However, understanding of the thermodynamic and kinetic behaviors of Ci diffusion under various influencing factors remains limited. In this work, first‐principles calculations reveal a strong dependence of the diffusion free‐energy barrier on charge states, Fermi level, and temperature. The entropic effects on the diffusion process at finite temperatures are systematically explored using machine learning force field and enhanced sampling techniques. Notably, appropriate n‐type doping and entropic effects contribute to the suppression of free‐energy barrier for the Ci diffusion process. A Ci diffusion activation temperature diagram is constructed, taking into account charge‐state transitions and entropic contributions. Furthermore, the kinetic diffusion coefficients under different conditions are quantitatively evaluated. Major native point defects have also been assessed to clarify their role in promoting or inhibiting Ci diffusion. These findings provide a fundamental understanding of the thermodynamic and kinetic behaviors of Ci diffusion, offering physical insights into the defect evolution in 3C‐SiC.
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics