TY - JOUR
T1 - Reconfigurable Logic and in-Memory Computing Based on Electrically Controlled Charge Trapping in Dielectric Engineered 2D Semiconductor Transistors
AU - Tan, Dongxin
AU - Luo, Zheng Dong
AU - Yang, Qiyu
AU - Xiao, Fei
AU - Gan, Xuetao
AU - Zhang, Dawei
AU - Chu, Zhufei
AU - Xue, Fei
AU - Zhang, Junpeng
AU - Xia, Yinshui
AU - Liu, Yan
AU - Hao, Yue
AU - Han, Genquan
N1 - Publisher Copyright:
© 2024 Wiley-VCH GmbH.
PY - 2024
Y1 - 2024
N2 - The co-integration of logic, memory, synapse, and other essential functionalities into one single element with run-time reconfigurability is explored as a promising approach for an efficient and flexible in-memory computing platform. However, despite ample research focused on such reconfigurable semiconductor technology, it remains challenging to achieve a CMOS-compatible device concept that is with simplified device structure, versatile functionalities, and efficient operation schemes. Here, a new type of run-time electrically reconfigurable device is demonstrated based on dielectric-engineered 2D semiconductor transistors. With an engineered semiconductor/charge-trap layer/dielectric film heterostructure, the 2D charge-trap transistor (CTT) resembles a simplified metal-oxide-semiconductor field-effect transistor (MOSFET) structure. Both multilevel permanent charge trapping and transient voltage-modulating capabilities can be realized in the 2D CTTs, giving rise to various switchable device function modes including non-volatile memory, threshold voltage-variable logic switch, and artificial synapse. Leveraging the monolithic integration of multiple 2D CTTs and time-sequential reconfigurable operation strategy, high-performance logic inverter and non-volatile ternary content-addressable memory (TCAM) with compact architecture can be created. The performance of the 2D CTTs in synapse mode is evaluated with the simulation of the convolutional neural network, showing great potential for future neuromorphic computing hardware.
AB - The co-integration of logic, memory, synapse, and other essential functionalities into one single element with run-time reconfigurability is explored as a promising approach for an efficient and flexible in-memory computing platform. However, despite ample research focused on such reconfigurable semiconductor technology, it remains challenging to achieve a CMOS-compatible device concept that is with simplified device structure, versatile functionalities, and efficient operation schemes. Here, a new type of run-time electrically reconfigurable device is demonstrated based on dielectric-engineered 2D semiconductor transistors. With an engineered semiconductor/charge-trap layer/dielectric film heterostructure, the 2D charge-trap transistor (CTT) resembles a simplified metal-oxide-semiconductor field-effect transistor (MOSFET) structure. Both multilevel permanent charge trapping and transient voltage-modulating capabilities can be realized in the 2D CTTs, giving rise to various switchable device function modes including non-volatile memory, threshold voltage-variable logic switch, and artificial synapse. Leveraging the monolithic integration of multiple 2D CTTs and time-sequential reconfigurable operation strategy, high-performance logic inverter and non-volatile ternary content-addressable memory (TCAM) with compact architecture can be created. The performance of the 2D CTTs in synapse mode is evaluated with the simulation of the convolutional neural network, showing great potential for future neuromorphic computing hardware.
KW - 2D transistors
KW - charge trapping effect
KW - in-memory computing
KW - non-volatile memory
KW - reconfigurable devices
UR - http://www.scopus.com/inward/record.url?scp=85211472718&partnerID=8YFLogxK
U2 - 10.1002/adfm.202417887
DO - 10.1002/adfm.202417887
M3 - 文章
AN - SCOPUS:85211472718
SN - 1616-301X
JO - Advanced Functional Materials
JF - Advanced Functional Materials
ER -