| Citation: |
Yanpeng Song, Hongxiao Lin, Guangxing Wan, Xiaomeng Liu, Zhenzhen Kong, Junjie Li, Xinhe Wang, Hailing Wang, Zhaoqiang Bai, Xiangsheng Wang, Ying Zhang, Yiwen Zhang, Huilong Zhu, Chao Zhao, Guilei Wang. Process integration and structural characterization of three−stacked gate−all−around nanosheet pFETs[J]. Journal of Semiconductors, 2026, In Press. doi: 10.1088/1674-4926/26010046
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Y P Song, H X Lin, G X Wan, X M Liu, Z Z Kong, J J Li, X H Wang, H L Wang, Z Q Bai, X S Wang, Y Zhang, Y W Zhang, H L Zhu, C Zhao, and G L Wang, Process integration and structural characterization of three−stacked gate−all−around nanosheet pFETs[J]. J. Semicond., 2026, accepted doi: 10.1088/1674-4926/26010046
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Process integration and structural characterization of three−stacked gate−all−around nanosheet pFETs
DOI: 10.1088/1674-4926/26010046
CSTR: 32376.14.1674-4926.26010046
More Information-
Abstract
Recent advancements in strain engineering of Gate−All−Around (GAA) nanosheets (NSs) make the SiGe−cladded Si channel a promising architecture for sub−3 nm logic nodes. In this work, we realize the controllable fabrication of three−stacked hexagonal SiGe−cladded Si NSs via optimized epitaxial growth and selective dry etching processes. Systematic structural characterizations including SEM, TEM and EDS confirm that the epitaxially grown SiGe cladding layer possesses excellent crystallinity and forms sharp, defect−free interfaces with the Si core, which is essential for high quality carrier transport. Beyond empirical process tuning, we further elaborate the underlying mechanism of selective etching kinetics and morphological evolution, and analyze the compressive strain modulation induced by the SiGe cladding structure. This work clarifies the critical process window for scalable three−layer stacking construction, and provides fundamental insights into process optimization, structural regulation and strain engineering for high−yield integration of next−generation GAA NS devices. -
References
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Supplements
Supporting_information.pdf
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Proportional views



Dr. Yanpeng Song obtained her Ph.D. in Physics from the Institute of Physics, Chinese Academy of Sciences in 2020, and completed his postdoctoral research there in 2022. She then joined the Beijing Superstring Institute of Memory. Currently, she serves as an Epitaxy Engineer in the SiGe department, leading core research and development and technology iteration in Si/SiGe superlattice epitaxial growth and in-situ boron/phosphorus (B/P) doping. She has led one National Natural Science Foundation project and published 27 SCI papers in top journals, including Physical Review Letters and Advanced Materials. She also holds 15 national invention patents.
Dr. Junjie Li is a Professorate Senior Engineer at the Institute of Microelectronics, Chinese Academy of Sciences (IMECAS). He earned his Ph.D. from IMECAS in 2021, and previously received his B.S. and M.S. from Wuhan University of Technology and Beihang University. With extensive industry experience, he worked as a Product Manager before joining IMECAS in 2013. His research focuses on nanodevices, key process technologies, mechanisms, and prototype equipment, particularly GAA modeling, SiGe/Si etching, and nanogap release. He has led projects such as the National Natural Science Foundation of China, published numerous papers, and holds multiple patents. He is a recipient of the CAS Technical Support Talent and other honors.
Prof. Guilei Wang received his Ph.D. from the University of Chinese Academy of Sciences in 2016. He served as a researcher at the Institute of Microelectronics, CAS from 2009 to 2021, and became Vice President of the Beijing Superstring Institute of Memory in October 2021. His research focuses on novel semiconductor functional materials, advanced devices, process integration, and Si-based quantum materials. Over the past five years, he has published 66 SCI and conference papers as corresponding author in prestigious journals like Nature Communications, Nano Letters, and IEEE journals, and has edited 4 books.
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