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  4. 1F-1T Array: Current Limiting Transistor Cascoded FeFET Memory Array for Variation Tolerant Vector-Matrix Multiplication Operation
 
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2023
Journal Article
Title

1F-1T Array: Current Limiting Transistor Cascoded FeFET Memory Array for Variation Tolerant Vector-Matrix Multiplication Operation

Abstract
This letter proposes a memory cell, denoted by 1F-1 T, consisting of a ferroelectric field-effect transistor (FeFET) cascaded with another current-limiting transistor (T). The transistor reduces the impact of drain current ( Id ) variations by limiting the on-state current in FeFET. The experimental data from our 28 nm high-k-metal-gate (HKMG) based FeFET calibrates and simulates the memory arrays. The simulation indicates a significant improvement in bit-line (BL) current ( IBL ) variation and the accuracy of vector-matrix multiplication of the 1F-1 T memory array. The system-level in-memory computing simulation with 1F-1T synapses shows an inference accuracy of 97.6% for the MNIST hand-written digits with multi-layer perceptron (MLP) neural networks.
Author(s)
Sk, Masud Rana
Thunder, Sunanda
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Müller, Franz  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Laleni, Nelli
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Raffel, Yannick
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Lederer, Maximilian
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Pirro, Luca
Chohan, Talha
Hsuen, Jing Hua
Wu, Tian Li
Seidel, Konrad  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Kämpfe, Thomas  orcid-logo
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
De, Sourav
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Chakrabarti, Bhaswar
Journal
IEEE Transactions on Nanotechnology  
Open Access
DOI
10.1109/TNANO.2023.3295093
Language
English
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Keyword(s)
  • 1/f noise

  • 1F-1T

  • Computer architecture

  • FeFET

  • FeFETs

  • Logic gates

  • Memory Array

  • Microprocessors

  • Neural networks

  • Transistors

  • Vector-matrix-multiplication

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