Suppr超能文献

通过自催化分子束外延的单一工艺在硅上进行砷化镓/铝镓砷核壳纳米线的晶圆级集成。

Wafer-scale integration of GaAs/AlGaAs core-shell nanowires on silicon by the single process of self-catalyzed molecular beam epitaxy.

作者信息

Minehisa Keisuke, Murakami Ryo, Hashimoto Hidetoshi, Nakama Kaito, Sakaguchi Kenta, Tsutsumi Rikuo, Tanigawa Takeru, Yukimune Mitsuki, Nagashima Kazuki, Yanagida Takeshi, Sato Shino, Hiura Satoshi, Murayama Akihiro, Ishikawa Fumitaro

机构信息

Research Center for Integrated Quantum Electronics, Hokkaido University Sapporo 060-0813 Japan

Faculty of Information Science and Technology, Hokkaido University Sapporo 060-0814 Japan.

出版信息

Nanoscale Adv. 2023 Jan 23;5(6):1651-1663. doi: 10.1039/d2na00848c. eCollection 2023 Mar 14.

Abstract

GaAs/AlGaAs core-shell nanowires, typically having 250 nm diameter and 6 μm length, were grown on 2-inch Si wafers by the single process of molecular beam epitaxy using constituent Ga-induced self-catalysed vapor-liquid-solid growth. The growth was carried out without specific pre-treatment such as film deposition, patterning, and etching. The outermost Al-rich AlGaAs shells form a native oxide surface protection layer, which provides efficient passivation with elongated carrier lifetime. The 2-inch Si substrate sample exhibits a dark-colored feature due to the light absorption of the nanowires where the reflectance in the visible wavelengths is less than 2%. Homogeneous and optically luminescent and adsorptive GaAs-related core-shell nanowires were prepared over the wafer, showing the prospect for large-volume III-V heterostructure devices available with this approach as complementary device technologies for integration with silicon.

摘要

砷化镓/铝镓砷核壳纳米线,通常直径为250纳米,长度为6微米,通过分子束外延的单一工艺,利用成分镓诱导的自催化气-液-固生长法在2英寸硅片上生长。生长过程无需进行诸如薄膜沉积、图案化和蚀刻等特定预处理。最外层富含铝的铝镓砷壳层形成天然氧化物表面保护层,可有效钝化并延长载流子寿命。由于纳米线的光吸收,2英寸硅衬底样品呈现深色特征,其在可见光波长范围内的反射率小于2%。在整个晶圆上制备了均匀、光学发光且具有吸附性的砷化镓相关核壳纳米线,这表明这种方法有望用于大规模III-V族异质结构器件,作为与硅集成的互补器件技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40fb/10012865/83e41bf208d1/d2na00848c-f1.jpg

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