探索金辅助剥离在n型和p型二维场效应管大规模集成中的应用。

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Małgorzata Giza, Krishnendu Mukhopadhyay, Harikrishnan Ravichandran, Andrew Pannone, Subir Ghosh, Saptarshi Das
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引用次数: 0

摘要

二维材料具有原子级厚度和特殊的电子特性,具有超越硅限制的晶体管技术的巨大潜力。虽然像金属有机化学气相沉积(MOCVD)这样的大面积生长技术可以实现可扩展的器件制造,但实现高结晶度的单层仍然具有挑战性。最近,金辅助机械去角质已经成为一种很有前途的替代方法,可以直接从大块晶体中分离出大面积的单层。在这项工作中,利用金辅助机械剥离来获得MoS2和WSe2的大面积单层,并制造了100多个NMOS和100多个PMOS fet,这是用金辅助剥离创建的fet的最大统计数据集,也是第一个包括p-FET性能分析的数据集。利用这些器件,构建并评估了CMOS逆变电路的性能。该研究确立了金辅助剥离作为获得大面积二维材料的可靠技术,并强调了优化大面积单层生产的体晶生长工艺的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Application of Gold-Assisted Exfoliation in Large-scale Integration of n-Type and p-Type 2D-FETs.

2D materials, with their atomic-scale thickness and exceptional electronic properties, hold immense potential for advancing transistor technologies beyond silicon's limitations. While large-area growth techniques like metal-organic chemical vapor deposition (MOCVD) enable scalable device fabrication, achieving monolayers with high crystallinity remains challenging. Recently, gold-assisted mechanical exfoliation has emerged as a promising alternative, offering large-area monolayers isolated directly from bulk crystals. In this work, gold-assisted mechanical exfoliation is utilized to obtain large-area monolayers of MoS2 and WSe2 and fabricate over 100 NMOS and 100 PMOS FETs - the largest statistical dataset of FETs created with gold-assisted exfoliation and the first to include p-FET performance analysis. Leveraging these devices, the performance of CMOS inverter circuits is constructed and evaluated. This study establishes gold-assisted exfoliation as a reliable technique for obtaining large-area 2D materials and highlights the need to optimize bulk crystal growth processes for large-area monolayer production.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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