机械应变对层状 AlN/GaN 纳米异质结构的光电特性和光催化应用的影响。

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Nitika, Sandeep Arora, Dharamvir Singh Ahlawat
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引用次数: 0

摘要

背景:这项研究的目的是利用第一性原理计算,研究不同机械应变对氮化铝/氮化镓二维/二维纳米异质结构的光电和光催化能力的影响。通过利用 lmBJ(Meta-GGA)和 PBEsol(GGA)函数,计算出纳米异质结构的带隙分别为 4.89 eV 和 3.24 eV。模拟的二维氮化铝/氮化镓纳米异质结构在施加双轴拉伸和压缩应变的情况下表现出优异的光学和电子特性。在 0% 至 8% 的拉伸应变波动期间,带隙从 4.89 eV 变为 3.77 eV,能隙性质从直接过渡到间接。应变对光学吸收峰也有显著影响。拉伸应变上升 0% 至 8% 会导致二维氮化铝/氮化镓纳米异质结构的初始吸收峰从 4.88 eV 变为 4.20 eV,应变每变化 2% 会导致光子能量红移 14%。此外,二维氮化铝/氮化镓纳米异质结构的最佳带隙和带边位置使水氧化还原过程能够在很宽的 pH 值范围内产生氢气和氧气。因此,通过应变进行改性可能是改变二维氮化铝/氮化镓纳米异质结构的光学和电子特性的有效方法,这项研究可能为这种材料未来在光电器件中的新应用铺平道路:本研究采用密度泛函理论来探讨二维氮化铝/氮化镓纳米异质结构的各种特性。为了描述电子交换相关性,我们使用了 PBEsol 函数。为了防止图像周期性之间的任何层间接触,沿 z 方向产生了约 10 Å 的真空。为了提高带隙预测的精度,我们使用元 GGA lmBJ 函数计算了电子和光学特性。为了考虑层间范德华相互作用,使用 DFT-D3 函数进行了纳米异质结构计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mechanical strain effect on the optoelectronic properties and photocatalysis applications of layered AlN/GaN nanoheterostructure

Mechanical strain effect on the optoelectronic properties and photocatalysis applications of layered AlN/GaN nanoheterostructure

Context

The aim of this work is to use first principles calculations to examine the effects of different mechanical strains on the optoelectronic and photocatalytic capabilities of the 2D/2D nanoheterostructure of AlN/GaN. By utilizing the lmBJ (Meta-GGA) and PBEsol (GGA) functional, the bandgap of the nanoheterostructure is calculated and found to be 4.89 eV and 3.24 eV. Simulated 2D AlN/GaN nanoheterostructure exhibits exceptional optical and electronic characteristics under applied biaxial tensile and compressive strains. The band gap changes from 4.89 to 3.77 eV, while the energy gap nature transitions from direct to indirect during tensile strain fluctuations of 0% to 8%. Strain is also found to have a significant effect on the optical absorption peaks. And a 0–8% rise in tensile strain causes the initial absorption peak of the 2D AlN/GaN nanoheterostructure to shift from 4.88 to 4.20 eV, which results in a 14% red shift in photon energy for every 2% change in strain. Furthermore, the optimum bandgap and band edge positions of the 2D AlN/GaN nanoheterostructure enable the water redox process to produce hydrogen and oxygen for wide range of pH. Thus, modification via strain may be an effective method for altering the optical as well as electronic characteristics of a 2D AlN/GaN nanoheterostructure, and this study may pave the way for new applications of this material in optoelectronic devices in the future.

Methods

In the current work, density functional theory is used to explore every attribute of the 2D AlN/GaN nanoheterostructure. To characterize the electronic exchange–correlation, we used the PBEsol functional. In order to prevent any interlayer contact between periodicity of images, a vacuum is produced along the z-direction of approximately 10 Å. To increase the precision of bandgap prediction, the electronic and optical characteristics were computed using the meta-GGA lmBJ functional. To account for interlayer van der Waals interactions, nanoheterostructure computations were performed using the DFT-D3 functional.

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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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