First principle calculations of Janus 2D-TiSSe as an anodic electrode in batteries of lithium, sodium, and magnesium ions

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-11-18 DOI:10.1007/s00894-024-06198-3
Ohoud Al-Qurashi, Kamal A. Soliman, Hassane Lgaz, Zaki Safi, Nuha Wazzan
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Abstract

Context

In recent years, rechargeable batteries have received considerable attention as a way to improve energy storage efficiency. Anodic (negative) electrodes based on Janus two-dimensional (2D) monolayers are among the most promising candidates. In this effort, the adsorption and diffusion of these Li, Na, and Mg ions on and through Janus 2D-TiSSe as anodic material was investigated by means of periodic DFT-D3 calculations. Electrochemical parameters were computed and compared. The diffusion barrier energies for migration of ions in monolayer TiSSe in three different potential directions were determined. Furthermore, the electronic properties and Mulliken charge analysis and plots of CDD were employed to investigate the interaction between ions and their surrounding surface. Our results show that the adsorption ability of TiSSe surface up to 32 metal ions falls in the following order: Li+  > Na+  > Mg2+. The maximum storage capacity is 337.37 mAh/g for Li/Na ion and 674.75 mAh/g for Mg ion. The average open-circuit voltage is 1.39, 0.93, and 0.73 V for Li, Na, and Mg ions, respectively. Lastly, the minimum diffusion barriers follow the order Li+  < Na+  < Mg2+. The structural, energetic, and thermal stability of clean Janus surface and its saturated adsorbed systems was proved by MD simulations. In addition, we compared the obtained electrochemical parameters to those reported by other researchers. This comprehensive approach demonstrates valuable insights, furthering our understanding of TiSSe’s behavior and its suitability for use in MIBs.

Methods

DFT calculations were applied with projector augmented plane waves (PAWs)/PBE functional. A two-dimensional (2D) monolayer TiSSe surface was built with a 4 × 4 supercell. The energy cutoff of plane waves was set to 400 eV. The DFT–D3 model has been used to incorporate van der Waals interactions. A geometric relaxation process was conducted using Monhkorst-Pack 8 × 8 × 1 in reciprocal space. The relaxation and electronic calculations were carried out using the Vienna Ab initio Simulation Package (VASP). Using the transition state (TS) search algorithm implemented in the Dmol3 module, linear synchronous transition and quadratic synchronous transit tools were utilized to find the minimum energy paths.

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将 Janus 2D-TiSSe 作为锂、钠和镁离子电池阳极电极的第一原理计算。
背景:近年来,可充电电池作为一种提高能量存储效率的方法受到了广泛关注。基于 Janus 二维(2D)单层的阳极(负极)电极是最有前途的候选材料之一。在这项研究中,我们通过周期性 DFT-D3 计算研究了 Li、Na 和 Mg 离子在 Janus 2D-TiSSe 阳极材料上的吸附和扩散情况,以及这些离子通过 Janus 2D-TiSSe 阳极材料的扩散情况。计算并比较了电化学参数。确定了离子在单层 TiSSe 中向三个不同电位方向迁移的扩散势垒能。此外,还利用电子特性和 Mulliken 电荷分析以及 CDD 图来研究离子与其周围表面之间的相互作用。结果表明,TiSSe 表面对 32 种金属离子的吸附能力按以下顺序排列:Li+ > Na+ > Mg2+。Li/Na 离子的最大存储容量为 337.37 mAh/g,Mg 离子的最大存储容量为 674.75 mAh/g。锂离子、Na 离子和 Mg 离子的平均开路电压分别为 1.39、0.93 和 0.73 V。最后,最小扩散障碍的顺序为 Li+ + 2+。通过 MD 模拟证明了洁净 Janus 表面及其饱和吸附体系的结构、能量和热稳定性。此外,我们还将获得的电化学参数与其他研究人员报告的参数进行了比较。这种综合方法展示了宝贵的见解,进一步加深了我们对 TiSSe 行为及其在 MIBs 中适用性的理解:采用投影仪增强平面波 (PAW) /PBE 函数进行 DFT 计算。使用 4 × 4 超级单元构建了二维(2D)单层 TiSSe 表面。平面波的能量截止点设定为 400 eV。使用 DFT-D3 模型纳入了范德华相互作用。在倒数空间中使用 Monhkorst-Pack 8 × 8 × 1 进行了几何弛豫过程。松弛和电子计算是使用维也纳 Ab initio 仿真软件包(VASP)进行的。利用 Dmol3 模块中的过渡态(TS)搜索算法、线性同步过渡和二次同步过渡工具来寻找最小能量路径。
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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