Abstract
In this work, the charge trapping-based Gate All Around Transistor (GAA) technology is utilized for the artificial synapse due to its superior performance in terms of low power consumption and high speed. The controlling of state transformation of electronic synapses from short-term potentiation (STP) to long-term potentiation (LTP) is crucial. We have investigated the effect of metal gate workfunction and channel doping on state transformation by using a feedback mechanism (impact ionization). This mechanism regulates channel potentiation and the level of charge trapping in the nitride layer. Our simulation results indicate that this approach can effectively control the STP to LTP transition, while also achieving long STP retention and better dynamic range. This study presents a promising direction for developing advanced electronic devices based on charge-trapping-based GAA transistors.
Original language | English (US) |
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Title of host publication | 2023 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 217-220 |
Number of pages | 4 |
ISBN (Electronic) | 9784863488038 |
DOIs | |
State | Published - 2023 |
Event | 2023 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2023 - Kobe, Japan Duration: Sep 27 2023 → Sep 29 2023 |
Publication series
Name | International Conference on Simulation of Semiconductor Processes and Devices, SISPAD |
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Conference
Conference | 2023 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2023 |
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Country/Territory | Japan |
City | Kobe |
Period | 09/27/23 → 09/29/23 |
Bibliographical note
Publisher Copyright:© 2023 The Japan Society of Applied Physics.
Keywords
- Charge Trapping Memory
- Long-Term Memory
- LTP
- NSFET
- Short-Term Memory
- STP
- Synapse features
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Modeling and Simulation