Write Endurance Enhanced and Large Memory Window of GeSe-Based Selector-Only Memory With Indium Doping Scheme

Chalcogenide-based novel Selector-Only Memory (SOM) has attracted much attention due to its fast-speed performance and manufacturability. However, the lack of endurance, caused by the polarity operation, needs to be improved. Here, we investigate an indium doping scheme for write endurance enhanced and large memory window of GeSe-based SOM. With the evidence of atomic migration, we propose a trade-off relationship between MW and endurance and a relevant model of Se-migration in a restricted range. Based on this model, we demonstrate that less than 5% In-doping can fit the optimization requirements. Besides, the performance of GeSe devices with different In concentrations further confirms the trade-off relationship. Finally, 3% In-doping GeSe SOM devices are fabricated with a large MW (1.3 V), three orders of magnitude improvement of write endurance compared with GeSe devices (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{{6}}$ </tex-math></inline-formula>) and excellent read endurance (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{{9}}$ </tex-math></inline-formula>). This work helps the endurance optimization of SOM devices and is promising to accelerate its widespread application.

Authors

Institutions

Publication Details

Journal
IEEE Electron Device Letters
Published
2024-11-11
DOI
https://doi.org/10.1109/led.2024.3495778
Citations
7
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
1.46

Funders

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

Write Endurance Enhanced and Large Memory Window of GeSe-Based Selector-Only Memory With Indium Doping Scheme

Jinyu Wen, C. Yi, Hao Tong, Xiangshui Miao et al.
7 citations
IEEE Electron Device Letters
Photonic and Optical Devices
1.46
article

Write Endurance Enhanced and Large Memory Window of GeSe-Based Selector-Only Memory With Indium Doping Scheme

Jinyu Wen, C. Yi, Hao Tong, Xiangshui Miao, Ziqi Chen, Lun Wang, J. Chen, Zixuan Liu
article en
7 citations

Abstract

Chalcogenide-based novel Selector-Only Memory (SOM) has attracted much attention due to its fast-speed performance and manufacturability. However, the lack of endurance, caused by the polarity operation, needs to be improved. Here, we investigate an indium doping scheme for write endurance enhanced and large memory window of GeSe-based SOM. With the evidence of atomic migration, we propose a trade-off relationship between MW and endurance and a relevant model of Se-migration in a restricted range. Based on this model, we demonstrate that less than 5% In-doping can fit the optimization requirements. Besides, the performance of GeSe devices with different In concentrations further confirms the trade-off relationship. Finally, 3% In-doping GeSe SOM devices are fabricated with a large MW (1.3 V), three orders of magnitude improvement of write endurance compared with GeSe devices (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{{6}}$ </tex-math></inline-formula>) and excellent read endurance (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{{9}}$ </tex-math></inline-formula>). This work helps the endurance optimization of SOM devices and is promising to accelerate its widespread application.

IEEE Electron Device LettersVol. 46(1)
Jianghan University (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 17%
Photonic and Optical 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.