Suppr超能文献

二维GeSe/AsP范德华异质结构用于太阳能电池的高功率转换效率。

The high power conversion efficiency of a two-dimensional GeSe/AsP van der Waals heterostructure for solar energy cells.

作者信息

Liu Hong-Yao, Yang Chuan-Lu, Wang Mei-Shan, Ma Xiao-Guang

机构信息

School of Physics and Optoelectronic Engineering, Ludong University, Yantai 264025, People's Republic of China.

出版信息

Phys Chem Chem Phys. 2021 Mar 18;23(10):6042-6050. doi: 10.1039/d0cp05413e.

Abstract

Constructing a van der Waals heterostructure is a practical way to promote the conversion efficiency of solar energy. Here, we demonstrate the efficient performance of a GeSe/AsP heterostructure in solar energy cells based on the first-principles calculations. The electronic properties, optical absorption, and optoelectronic properties are calculated to evaluate the efficiency of the newly designed heterostructure. The results indicate that the GeSe/AsP heterostructure possesses a type-II band alignment with an indirect bandgap of 1.10 eV, which greatly promotes the effective separation of photogenerated carriers. Besides, an intrinsic electric field is formed in the direction from the AsP to GeSe monolayer, which is beneficial to prevent the recombination of the photogenerated electron-hole pair. Simultaneously, a strong optical absorption is observed in the visible light range. The predicted power conversion efficiency (PCE) of the GeSe/AsP heterostructure is 16.0% and can be promoted to 17.3% by applying 1% biaxial compression strain. The present results indicate that the GeSe/AsP heterostructure is a promising candidate material for high-performance solar cells.

摘要

构建范德华异质结构是提高太阳能转换效率的一种切实可行的方法。在此,我们基于第一性原理计算展示了GeSe/AsP异质结构在太阳能电池中的高效性能。通过计算电子性质、光吸收和光电性质来评估新设计的异质结构的效率。结果表明,GeSe/AsP异质结构具有II型能带排列,间接带隙为1.10 eV,这极大地促进了光生载流子的有效分离。此外,在从AsP到GeSe单层的方向上形成了一个内建电场,这有利于防止光生电子 - 空穴对的复合。同时,在可见光范围内观察到强烈的光吸收。GeSe/AsP异质结构的预测功率转换效率(PCE)为16.0%,通过施加1%的双轴压缩应变可提高到17.3%。目前的结果表明,GeSe/AsP异质结构是高性能太阳能电池的一种有前景的候选材料。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验