Abstract

In-memory computing is an attractive alternative for handling data-intensive tasks as it employs parallel processing without the need for data transfer. Nevertheless, it necessitates a high-density memory array to effectively manage large data volumes. Here, we present a stacked ferroelectric memory array comprised of laterally gated ferroelectric field-effect transistors (LG-FeFETs). The interlocking effect of the α-In2Se3 is utilized to regulate the channel conductance. Our study examined the distinctive characteristics of the LG-FeFET, such as a notably wide memory window, effective ferroelectric switching, long retention time (over 3 × 104 seconds), and high endurance (over 105 cycles). This device is also well-suited for implementing vertically stacked structures because decreasing its height can help mitigate the challenges associated with the integration process. We devised a 3D stacked structure using the LG-FeFET and verified its feasibility by performing multiply-accumulate (MAC) operations in a two-tier stacked memory configuration.

Designing a high-density memory array to effectively manage large data volumes remains a challenge. Here, the authors introduce a stacked ferroelectric memory array comprised of laterally gated ferroelectric field-effect transistors device with high vertical scalability and efficient memory properties, making it suitable for 3D in-memory computing structures.

Details

Title
Laterally gated ferroelectric field effect transistor (LG-FeFET) using α-In2Se3 for stacked in-memory computing array
Author
Park, Sangyong 1 ; Lee, Dongyoung 2 ; Kang, Juncheol 2 ; Choi, Hojin 2 ; Park, Jin-Hong 3   VIAFID ORCID Logo 

 Device Solutions, Samsung Electronics Co. Ltd, Flash Technology Development Team, R&D Center, Hwasung, Korea (GRID:grid.419666.a) (ISNI:0000 0001 1945 5898); Sungkyunkwan University (SKKU), Department of Semiconductor and Display Engineering, Suwon, Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) 
 Sungkyunkwan University (SKKU), Department of Electrical and Computer Engineering, Suwon, Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) 
 Sungkyunkwan University (SKKU), Department of Electrical and Computer Engineering, Suwon, Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X); Sungkyunkwan University (SKKU), SKKU Advanced Institute of Nano-Technology (SAINT), Suwon, Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X); Sungkyunkwan University (SKKU), Department of Semiconductor Convergence Engineering, Suwon, Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) 
Pages
6778
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2881543764
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.