How to Control the State Transformation from Short-Term Potentiation to Long-Term Potentiation of Charge Trapping Synapse?

Md Hasan Raza Ansari*, Nazek El-Atab

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish (US)
Title of host publication2023 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages217-220
Number of pages4
ISBN (Electronic)9784863488038
DOIs
StatePublished - 2023
Event2023 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2023 - Kobe, Japan
Duration: Sep 27 2023Sep 29 2023

Publication series

NameInternational Conference on Simulation of Semiconductor Processes and Devices, SISPAD

Conference

Conference2023 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2023
Country/TerritoryJapan
CityKobe
Period09/27/2309/29/23

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

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