First-principles study on the regulation of vacancy defects in two-dimensional MoSi2N4 as an anode material for potassium-ion batteries

IF 2.9 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Hua Wu, Hongyang Zhang, Yujie Zhao, Wenqi Shi, Shufan Yang, Chenyu Yang, Junqing Wen, Wanlin He
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引用次数: 0

Abstract

Context

In this paper, the adsorption properties of K atoms on the surface of two-dimensional MoSi2N4 were investigated via density functional theory. It was found that the adsorption energies of K atom at the Mo-top, N-top and Si-top sites of pristine MoSi2N4 were − 0.03 eV, − 0.05 eV and − 0.08 eV, respectively. The diffusion barrier of K atom on the MoSi2N4 surface was calculated to be only 0.052 eV, indicating the excellent diffusion ability of K atom on MoSi2N4. With the increasing of adsorbed K atoms, stable adsorption of K atoms on the MoSi2N4 surface was no longer achievable. By introducing Si-vacancy defects, the adsorption energy of K atoms at the most favourable adsorption site on the MoSi2N4 surface reached − 3.92 eV. Compared with pristine MoSi2N4, the adsorption strength was enhanced by approximately 50 times. Meanwhile, the number of stably adsorbed K atoms increased from 1 to 6. Accordingly, a maximum theoretical K storage capacity of 773 mAh/g and an open-circuit voltage of 1.66 V were obtained. Moreover, the diffusion barrier of K atom on the VSi-MoSi2N4 surface was calculated to be 0.053 eV. The modified two-dimensional MoSi2N4 combined excellent K atom transport capability with moderate adsorption strength, demonstrating its potential application as an anode material for potassium-ion batteries.

Methods

First-principles calculations based on density functional theory were performed to investigate the effects of vacancy defects on the potassium-storage properties of two-dimensional MoSi2N4. All calculations were performed using the Vienna ab initio Simulation Package. The generalized gradient approximation with the Perdew–Burke–Ernzerhof exchange–correlation functional was adopted for structural relaxation and energy calculation. The Heyd–Scuseria–Ernzerhof hybrid functional was utilized to calculate electronic band structures and acquire accurate band gap values. The projector augmented-wave method was employed to describe core–valence electronic interactions, and the DFT-D3(BJ) approach was used to account for van der Waals interactions. The CI-NEB method and AIMD simulations were separately adopted to evaluate the diffusion kinetics and thermal stability of the material system.

作为钾离子电池负极材料的二维MoSi2N4中空位缺陷调控的第一性原理研究
本文利用密度泛函理论研究了二维MoSi2N4表面K原子的吸附特性。结果表明,原始MoSi2N4在Mo-top、N-top和Si-top位置上K原子的吸附能分别为- 0.03 eV、- 0.05 eV和- 0.08 eV。计算得到K原子在MoSi2N4表面的扩散势垒仅为0.052 eV,表明K原子在MoSi2N4表面具有良好的扩散能力。随着吸附K原子的增加,K原子在MoSi2N4表面的稳定吸附不再实现。通过引入si空位缺陷,K原子在MoSi2N4表面最有利吸附位点的吸附能达到−3.92 eV。与原始MoSi2N4相比,吸附强度提高了约50倍。同时,稳定吸附的K原子数从1个增加到6个。因此,最大理论K存储容量为773 mAh/g,开路电压为1.66 V。同时,计算得到VSi-MoSi2N4表面K原子的扩散势垒为0.053 eV。改性后的二维MoSi2N4结合了优异的K原子传输能力和中等的吸附强度,显示了其作为钾离子电池负极材料的潜在应用前景。方法采用基于密度泛函理论的第一性原理计算方法,研究空位缺陷对二维MoSi2N4储钾性能的影响。所有计算均使用维也纳从头算模拟包进行。采用Perdew-Burke-Ernzerhof交换相关泛函的广义梯度近似进行结构弛豫和能量计算。利用Heyd-Scuseria-Ernzerhof杂化泛函计算电子能带结构,获得准确的带隙值。投影增强波法用于描述核价电子相互作用,DFT-D3(BJ)方法用于解释范德华相互作用。分别采用CI-NEB方法和AIMD模拟对材料体系的扩散动力学和热稳定性进行了评价。
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
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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