Opto-electronic properties of Sn-C Co-doped β-Ga2O3 at different concentrations: a GGA + U study.

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Lin Chen, Haixia Li, Shangju Chen
{"title":"Opto-electronic properties of Sn-C Co-doped β-Ga<sub>2</sub>O<sub>3</sub> at different concentrations: a GGA + U study.","authors":"Lin Chen, Haixia Li, Shangju Chen","doi":"10.1007/s00894-025-06459-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Content: </strong>This study investigates the electronic structure and optical properties of Sn-C co-doped β-Ga<sub>2</sub>O<sub>3</sub> at different concentrations using the generalized gradient approximation (GGA + U) method within density functional theory (DFT). The results show that, compared to intrinsic β-Ga<sub>2</sub>O<sub>3</sub>, all doped systems induce lattice distortion. Among them, the Sn-C system exhibits higher stability in both oxygen-rich and gallium-rich environments. Additionally, doping significantly reduces the band gap, with the Sn-2C doped system having the smallest band gap (0.98 eV), while both the 5 at% system and Sn-3C system display weak metallic characteristics. The static dielectric constant of the co-doped system increases with concentration, enhancing its polarization ability. The absorption spectrum shows clear redshift, with significantly improved absorption in the 150-400 nm wavelength range and a trend toward extension into the visible light region. These results suggest that Sn-C co-doping is an effective strategy for optimizing the optoelectronic properties of β-Ga<sub>2</sub>O<sub>3</sub>, potentially enhancing its application in optoelectronic devices.</p><p><strong>Methods: </strong>In the first-principles calculations, density functional theory (DFT) was employed, using the Perdew-Burke-Ernzerhof (PBE) functional within the generalized gradient approximation (GGA). The calculations were performed using the Cambridge Sequential Total Energy Package (CASTEP) program, where the interaction between valence electrons and ionic cores was treated with on-the-fly generated (OTFG) ultrasoft pseudopotentials. A plane-wave basis set was constructed with a cutoff energy of 450 eV. The Brillouin zone was sampled using a 1 × 4 × 2 k-point mesh generated by the Monkhorst-Pack method, and structural optimization was carried out using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. During optimization, the following energy convergence criteria were set: a total energy convergence threshold of 10<sup>-5</sup> eV/atom, a maximum internal stress of 0.05 GPa, an interatomic force less than 0.03 eV/nm, and a maximum atomic displacement limited to 10<sup>-3</sup> Å. The valence electron configurations used in the calculations were Ga (3d<sup>10</sup> 4s<sup>2</sup> 4p<sup>1</sup>), O (2s<sup>2</sup> 2p<sup>4</sup>), Sn (5s<sup>2</sup> 5p<sup>2</sup>), and C (2s<sup>2</sup> 2p<sup>2</sup>). It should be noted that the standard GGA method neglects the strong correlation effects of Ga 3d electrons, which leads to an underestimated band gap compared to experimental values, thereby affecting the accurate assessment of material properties. To address this issue, the GGA + U approach was adopted in this work, introducing Hubbard U corrections to more accurately describe the electronic structure of β-Ga<sub>2</sub>O<sub>3</sub>. Specifically, a U value of 6.5 eV was applied to the O 2p electrons, and a U value of 10.5 eV was applied to the Ga 3d electrons.</p>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 8","pages":"224"},"PeriodicalIF":2.5000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s00894-025-06459-9","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Content: This study investigates the electronic structure and optical properties of Sn-C co-doped β-Ga2O3 at different concentrations using the generalized gradient approximation (GGA + U) method within density functional theory (DFT). The results show that, compared to intrinsic β-Ga2O3, all doped systems induce lattice distortion. Among them, the Sn-C system exhibits higher stability in both oxygen-rich and gallium-rich environments. Additionally, doping significantly reduces the band gap, with the Sn-2C doped system having the smallest band gap (0.98 eV), while both the 5 at% system and Sn-3C system display weak metallic characteristics. The static dielectric constant of the co-doped system increases with concentration, enhancing its polarization ability. The absorption spectrum shows clear redshift, with significantly improved absorption in the 150-400 nm wavelength range and a trend toward extension into the visible light region. These results suggest that Sn-C co-doping is an effective strategy for optimizing the optoelectronic properties of β-Ga2O3, potentially enhancing its application in optoelectronic devices.

Methods: In the first-principles calculations, density functional theory (DFT) was employed, using the Perdew-Burke-Ernzerhof (PBE) functional within the generalized gradient approximation (GGA). The calculations were performed using the Cambridge Sequential Total Energy Package (CASTEP) program, where the interaction between valence electrons and ionic cores was treated with on-the-fly generated (OTFG) ultrasoft pseudopotentials. A plane-wave basis set was constructed with a cutoff energy of 450 eV. The Brillouin zone was sampled using a 1 × 4 × 2 k-point mesh generated by the Monkhorst-Pack method, and structural optimization was carried out using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. During optimization, the following energy convergence criteria were set: a total energy convergence threshold of 10-5 eV/atom, a maximum internal stress of 0.05 GPa, an interatomic force less than 0.03 eV/nm, and a maximum atomic displacement limited to 10-3 Å. The valence electron configurations used in the calculations were Ga (3d10 4s2 4p1), O (2s2 2p4), Sn (5s2 5p2), and C (2s2 2p2). It should be noted that the standard GGA method neglects the strong correlation effects of Ga 3d electrons, which leads to an underestimated band gap compared to experimental values, thereby affecting the accurate assessment of material properties. To address this issue, the GGA + U approach was adopted in this work, introducing Hubbard U corrections to more accurately describe the electronic structure of β-Ga2O3. Specifically, a U value of 6.5 eV was applied to the O 2p electrons, and a U value of 10.5 eV was applied to the Ga 3d electrons.

不同浓度Sn-C共掺杂β-Ga2O3的光电性质:GGA + U研究
内容:利用密度泛函理论(DFT)中的广义梯度近似(GGA + U)方法研究了Sn-C共掺杂β-Ga2O3在不同浓度下的电子结构和光学性质。结果表明,与本征β-Ga2O3相比,所有掺杂体系都会引起晶格畸变。其中,Sn-C体系在富氧和富镓环境中均表现出较高的稳定性。此外,掺杂显著减小了带隙,其中Sn-2C掺杂体系的带隙最小(0.98 eV),而5 at%掺杂体系和Sn-3C体系均表现出较弱的金属特性。共掺杂体系的静态介电常数随浓度的增加而增加,极化能力增强。吸收光谱显示出明显的红移,在150 ~ 400 nm波长范围内的吸收显著提高,并有向可见光区域扩展的趋势。这些结果表明,Sn-C共掺杂是优化β-Ga2O3光电子性能的有效策略,有可能增强其在光电器件中的应用。方法:在第一性原理计算中,采用密度泛函理论(DFT),在广义梯度近似(GGA)中使用Perdew-Burke-Ernzerhof (PBE)泛函。计算使用剑桥顺序总能量包(CASTEP)程序进行,其中价电子和离子核之间的相互作用用动态生成(OTFG)超软赝势处理。建立了一个截止能量为450 eV的平面波基集。采用Monkhorst-Pack方法生成的1 × 4 × 2 k点网格对布里louin区域进行采样,并采用BFGS算法对布里louin区域进行结构优化。优化过程中,设定了能量收敛准则:总能量收敛阈值为10-5 eV/原子,最大内应力为0.05 GPa,原子间作用力小于0.03 eV/nm,最大原子位移限制为10-3 Å。计算中使用的价电子构型为Ga (3d10 4s2 4p1)、O (2s2 2p4)、Sn (5s2 5p2)和C (2s2 2p2)。需要注意的是,标准的GGA方法忽略了Ga三维电子的强相关效应,导致带隙与实验值相比被低估,从而影响对材料性能的准确评估。为了解决这个问题,本研究采用GGA + U方法,引入Hubbard U修正来更准确地描述β-Ga2O3的电子结构。其中,O 2p电子的U值为6.5 eV, Ga 3d电子的U值为10.5 eV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信