Morphological and strain engineering of SiGe cladded channels for stacked nanowire transistors
Abstract
This paper presents a comprehensive study of silicon germanium (SiGe) cladded channels for stacked nanowires (NWs), focusing on morphological control and strain engineering to enhance device performance. High-resolution transmission electron microscopy (TEM) was used to characterize the Si NWs and SiGe cladding morphology. The results demonstrate that the morphology of SiGe cladding can be controlled by adjusting the high-temperature H2 baking conditions, leading to shapes such as triangular, circular, and hexagonal. Technology computer-aided design simulations and geometric phase analysis of TEM images revealed that the maximum compressive stress of SiGe cladding is 3 GPa, corresponding to a compressive strain of 2.48%, which significantly enhances hole mobility. Electrical performance tests and simulations on p-type metal–oxide–semiconductor field-effect transistor devices with different morphologies showed excellent short-channel effect control, with a subthreshold swing (SS) of approximately 70 mV/dec and a drain-induced barrier lowering of only 40 mV/V. These findings provide valuable guidelines for fabricating high-quality SiGe channels with controlled structures, enabling the realization of high carrier mobilities in future devices.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (16)
Yanpeng Song
State Key Laboratory of Catalysis Dalian Institute of Chemical Physics
Guangxing Wan
University of Chinese Academy of Sciences 1 , Beijing 100049,
Xiaomeng Liu
Frontiers Science Center for New Organic Matter, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), State Key Laboratory of Advanced Chemical Power Sources, College of Chemistry
Junjie Li
Physics Department, University of California, San Diego, La Jolla, CA, USA.
Hailing Wang
Beijing Superstring Academy of Memory Technology 1 , Beijing 100176,
Xinhe Wang
Kuanrong Hao
Beijing Superstring Academy of Memory Technology 2 , Beijing 100176,
Z. Bai
Beijing Superstring Academy of Memory Technology 2 , Beijing 100176,
Xiangsheng Wang
Beijing Superstring Academy of Memory Technology 1 , Beijing 100176,
Zhenzhen Kong
Junfeng Li
Tsinghua Shenzhen International Graduate School
Jun Luo
Yongkui Zhang
Huilong Zhu
Chao Zhao
Shanghai Institute of Measurement and Testing Technology, 1500 Zhang-Heng Road, Shanghai 201203, P.R. China
Guilei Wang
Beijing Superstring Academy of Memory Technology 1 , Beijing 100176,