Improvement of Selective Quasi Atomic Layer Etching of SiGe/Si by Plasma Surface Modification for Fishbone FET Fabrication

Abstract Gate‐all‐around field effect transistors (GAAFETs), including nanosheet (NS) and nanowire (NW) structures, are crucial for the advancement of novel logic devices. One significant challenge in GAA NS is the electrical performance mismatch between NMOS and PMOS drive currents, which stems from the different mobility of holes and electrons. In this study, an innovative Fishbone FET structure with nanoscale dimensions integrating SiGe nano‐fins and Si nanosheet is experimentally fabricated. This structure addresses the performance mismatch between NMOS and PMOS in GAAFETs, and enhances the driving capability of the device by increasing the number of effective channels. The Fishbone FET channel is fabricated using dry quasi‐atomic layer etching (quasi‐ALE), which has emerged as a promising candidate for accurately controlling the etching depth of the SiGe layer. Scanning Electron Microscope (SEM), Transmission Electron Microscope (TEM), and X‐ray Photoelectron Spectroscopy (XPS) are employed to systematically investigate various process phenomena and interfacial reaction mechanisms associated with quasi‐ALE. The findings show that etching per cycle is ≈0.27 nm, and the etching process involves a two‐step self‐limiting reaction. This novel channel structure fabrication approach is expected to serve as an important reference for optimizing the channel in GAAFETs.

Authors

Institutions

Publication Details

Journal
Advanced Materials Technologies
Published
2025-06-16
DOI
https://doi.org/10.1002/admt.202402192
Citations
2
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improvement of Selective Quasi Atomic Layer Etching of SiGe/Si by Plasma Surface Modification for Fishbone FET Fabrication

Hua Shao, Yong-Ping Zhai, Rui Ge, Zemeng Feng et al.
2 citations
Advanced Materials Technologies
Semiconductor materials and devices
1.46
article

Improvement of Selective Quasi Atomic Layer Etching of SiGe/Si by Plasma Surface Modification for Fishbone FET Fabrication

Hua Shao, Yong-Ping Zhai, Rui Ge, Zemeng Feng, Panpan Lai, Ziyi Hu, Rui Chen, Lado Filipovic, Junjie Li, Tong Yu, D. S. Shang
article en
2 citations

Abstract

Abstract Gate‐all‐around field effect transistors (GAAFETs), including nanosheet (NS) and nanowire (NW) structures, are crucial for the advancement of novel logic devices. One significant challenge in GAA NS is the electrical performance mismatch between NMOS and PMOS drive currents, which stems from the different mobility of holes and electrons. In this study, an innovative Fishbone FET structure with nanoscale dimensions integrating SiGe nano‐fins and Si nanosheet is experimentally fabricated. This structure addresses the performance mismatch between NMOS and PMOS in GAAFETs, and enhances the driving capability of the device by increasing the number of effective channels. The Fishbone FET channel is fabricated using dry quasi‐atomic layer etching (quasi‐ALE), which has emerged as a promising candidate for accurately controlling the etching depth of the SiGe layer. Scanning Electron Microscope (SEM), Transmission Electron Microscope (TEM), and X‐ray Photoelectron Spectroscopy (XPS) are employed to systematically investigate various process phenomena and interfacial reaction mechanisms associated with quasi‐ALE. The findings show that etching per cycle is ≈0.27 nm, and the etching process involves a two‐step self‐limiting reaction. This novel channel structure fabrication approach is expected to serve as an important reference for optimizing the channel in GAAFETs.

Advanced Materials TechnologiesVol. 10(18)
TU Wien (AT), Chinese Academy of Sciences (CN), Institute of Microelectronics (CN), University of Chinese Academy of Sciences (CN)
Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung, National Natural Science Foundation of China, Chinese Academy of Sciences, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Youth Innovation Promotion Association
Openalex Percentile: Top 17%
Semiconductor materials and devices
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.