DFT Insights into the C2N Monolayers and Transition Metal Decorating C2N for Hg0 Removal

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Mahnaz Mohammadi
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Abstract

Mercury is a dangerous heavy metal for the environment and human health. In this study, density functional theory (DFT) is employed to investigate the effect of the transition metals (TM) decoration on the C2N for Hg0 removal applications. These findings indicate that the adsorption energy of Hg0 on the C2N surface is low (−0.16 eV), however, the Mn, Fe, and Co atoms decoration on the C2N monolayer can enhance the adsorption energy. Specifically, the Fe@C2N exhibits the highest Hg0 adsorption energy. The work function of the C2N monolayer increases after the adsorption of the Hg0 and TM, due to the surface charge density redistribution. The impact of the Hg0 coverage and the number of the Fe atoms on the adsorption energy is also studied. The optimal number of the Hg0 atoms adsorbed on the Fe@C2N is two, while the Fe3 cluster decorated on the C2N monolayer can accommodate three Hg atoms. The presence of the CO molecule cannot affect Hg0 adsorption on the Fe@C2N, but the presence of the H2O molecule causes the surface to bend. This study can provide insight into the application of the C2N monolayer for Hg0 removal and provides a deep understanding of the adsorption process.
DFT对C2N单层和过渡金属修饰C2N去除Hg0的研究
汞是一种对环境和人类健康有害的重金属。本研究采用密度泛函理论(DFT)研究了过渡金属(TM)修饰对C2N去除Hg0的影响。这些结果表明,Hg0在C2N表面的吸附能较低(- 0.16 eV),而在C2N单层上修饰Mn、Fe和Co原子可以增强吸附能。其中Fe@C2N的Hg0吸附能最高。吸附Hg0和TM后,由于表面电荷密度的重新分布,C2N单层的功函数增大。研究了Hg0的覆盖率和铁原子的数目对吸附能的影响。在Fe@C2N上吸附Hg原子的最佳数量为2个,而在C2N单层上修饰的Fe3簇可以容纳3个Hg原子。CO分子的存在不会影响Fe@C2N对Hg0的吸附,但H2O分子的存在会导致表面弯曲。本研究为C2N单层膜在Hg0脱除中的应用提供了新的思路,并对吸附过程有了更深入的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
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
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