材料科学
空位缺陷
奥氏体
扩散
铁氧体(磁铁)
渗氮
动力学蒙特卡罗方法
热力学
密度泛函理论
氮气
大气温度范围
有效扩散系数
铁磁性
凝聚态物理
冶金
蒙特卡罗方法
纳米技术
计算化学
微观结构
化学
复合材料
物理
统计
数学
图层(电子)
有机化学
放射科
磁共振成像
医学
作者
Aurash Karimi,Michael Auinger
出处
期刊:Acta Materialia
[Elsevier]
日期:2021-09-14
卷期号:220: 117292-117292
被引量:7
标识
DOI:10.1016/j.actamat.2021.117292
摘要
This work contains a systematic study of the diffusion of nitrogen in Ferrite (α-Fe) and Austenite (γ-Fe) from first principles, using a robust multiscale model which combines Density Functional Theory (DFT) and Kinetic Monte Carlo (KMC). Both ferromagnetic BCC Fe and non-magnetic FCC Fe are considered using DFT to drive a diffusion model, which shows strong agreement with experimental diffusion data in literature. Further, quantified predictions are calculated for nitrogen diffusion in iron crystals which are vacancy-rich. It was found that an extended diffusion coefficient of nitrogen can be expressed as a function of nitrogen and vacancy concentration by fitting polynomial coefficients. These are calculated within the 100∘C
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