Suppr超能文献

基于第一性原理的MoS元素掺杂中的普遍极化子行为

Universal Polaronic Behavior in Elemental Doping of MoS from First-Principles.

作者信息

Bae Soungmin, Miyamoto Ibuki, Kiyohara Shin, Kumagai Yu

机构信息

Institute for Materials Research, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai 980-8577, Japan.

出版信息

ACS Nano. 2024 Dec 17;18(50):33988-33997. doi: 10.1021/acsnano.4c08366. Epub 2024 Dec 2.

Abstract

Elemental doping of two-dimensional (2D) semiconductors is crucial for manipulating their electrical and optical properties and enhancing the performance of advanced 2D devices. However, doping methods, such as ion implantation and chemical vapor deposition, can produce various outcomes extensively, depending on the chemical environment. We systematically study the elemental doping of the monolayer MoS by using density-functional theory calculations, which identify thermally stable sites among atomic substitutions, surface adsorption, and lattice interstitials of 27 elemental dopants, along with their formation energies and charge transition levels. By adopting the Koopmans-compliant hybrid functionals, the hydrogenic states predicted by semilocal functionals transform into localized polaronic states, which universally exhibit deep transitions located 1.0 eV away from the band edges. This polaronic behavior persists even in bulk MoS, which suggests impurity conduction as the predominant carrier conduction mechanism. Our study offers fundamental insights into elemental doping in MoS, which could be essential for doping transition metal dichalcogenides and similar 2D semiconductors.

摘要

二维(2D)半导体的元素掺杂对于调控其电学和光学性质以及提升先进二维器件的性能至关重要。然而,诸如离子注入和化学气相沉积等掺杂方法,会因化学环境的不同而广泛产生各种不同的结果。我们通过使用密度泛函理论计算系统地研究了单层二硫化钼(MoS)的元素掺杂,该计算确定了27种元素掺杂剂在原子取代、表面吸附和晶格间隙中的热稳定位点,以及它们的形成能和电荷转移能级。通过采用符合库普曼斯定理的杂化泛函,半局域泛函预测的类氢态转变为局域极化子态,这些态普遍呈现出位于距带边1.0 eV处的深能级跃迁。这种极化子行为甚至在体相二硫化钼中也持续存在,这表明杂质传导是主要的载流子传导机制。我们的研究为二硫化钼中的元素掺杂提供了基础见解,这对于掺杂过渡金属二硫属化物及类似的二维半导体可能至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b0a/11656834/75e0d9177bf9/nn4c08366_0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验