Experimental-Modeling Framework for Identifying Defects Responsible for Reliability Issues in 2D FETs

In this work, a self-consistent method is used to identify and describe defects plaguing 300 mm integrated 2D field-effect transistors. This method requires measurements of the transfer characteristic hysteresis combined with physics-based modeling of charge carrier capture and emission processes using technology computer aided design (TCAD) tools. The interconnection of experiments and simulations allows one to thoroughly characterize charge trapping/detrapping by/from defects, depending on their energy position. Once the trap energy distribution is extracted, it is used as input in transient TCAD simulations to reproduce the experimental hysteretic transfer characteristics. Our method is widely applicable to any 2D channel/gate stack combination. Here, it is demonstrated on FAB-integrated devices with AlO<sub><i>x</i></sub>/HfO<sub>2</sub> gate oxide. A Gaussian-approximated defect band in the AlO<sub><i>x</i></sub> interlayer centered at a position of about 0.1 eV below the conduction band minimum of WS<sub>2</sub> is obtained. Based on this energy position, it is concluded that aluminum interstitial and oxygen vacancies are the defects giving rise to the observed hysteresis. These defects are detrimental to the stability of the studied devices as they are easily accessible by channel carriers during on-state operation. A prominent hysteresis obtained during measurements is consistent with this conclusion.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-10-28
DOI
https://doi.org/10.1021/acsami.4c10888
Citations
4
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
0.83

Funders

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

Experimental-Modeling Framework for Identifying Defects Responsible for Reliability Issues in 2D FETs

Luca Panarella, T. Schram, Stanislav Tyaginov, Devin Verreck et al.
4 citations
ACS Applied Materials & Interfaces
Semiconductor materials and devices
0.83
article

Experimental-Modeling Framework for Identifying Defects Responsible for Reliability Issues in 2D FETs

Luca Panarella, T. Schram, Stanislav Tyaginov, Devin Verreck, César Javier Lockhart de la Rosa, Gouri Sankar Kar, Alexander Makarov, Dennis Lin, B. Kaczer, Quentin Smets, Valeri Afanas’ev
article en
4 citations

Abstract

In this work, a self-consistent method is used to identify and describe defects plaguing 300 mm integrated 2D field-effect transistors. This method requires measurements of the transfer characteristic hysteresis combined with physics-based modeling of charge carrier capture and emission processes using technology computer aided design (TCAD) tools. The interconnection of experiments and simulations allows one to thoroughly characterize charge trapping/detrapping by/from defects, depending on their energy position. Once the trap energy distribution is extracted, it is used as input in transient TCAD simulations to reproduce the experimental hysteretic transfer characteristics. Our method is widely applicable to any 2D channel/gate stack combination. Here, it is demonstrated on FAB-integrated devices with AlO<sub><i>x</i></sub>/HfO<sub>2</sub> gate oxide. A Gaussian-approximated defect band in the AlO<sub><i>x</i></sub> interlayer centered at a position of about 0.1 eV below the conduction band minimum of WS<sub>2</sub> is obtained. Based on this energy position, it is concluded that aluminum interstitial and oxygen vacancies are the defects giving rise to the observed hysteresis. These defects are detrimental to the stability of the studied devices as they are easily accessible by channel carriers during on-state operation. A prominent hysteresis obtained during measurements is consistent with this conclusion.

ACS Applied Materials & InterfacesVol. 16(45)
IMEC (BE), KU Leuven (BE)
Fonds Wetenschappelijk Onderzoek, H2020 Future and Emerging Technologies
Openalex Percentile: Top 26%
Semiconductor materials and devices
0.83
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.