articleNano LettersJan 30, 2019Closed access

Ferroelectric Analog Synaptic Transistors

MKMin‐Kyu KimJLJang‐Sik Lee

Pohang University of Science and Technology

PubMed
Indexed incrossrefpubmed

Abstract

Neuromorphic computing is a promising alternative to conventional computing systems as it could enable parallel computation and adaptive learning process. However, the development of energy efficient neuromorphic hardware systems has been hindered by the limited performance of analog synaptic devices. Here, we demonstrate the analog conductance modulation behavior in the ferroelectric thin-film transistors (FeTFT) that have the nanoscale ferroelectric material and oxide semiconductors. Accurate control of polarization changes in the nanoscale ferroelectric layer induces conductance modulation to demonstrate linear potentiation and depression characteristics of FeTFTs. Our devices show potentiation and…

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Topics & keywords

Topics
Keywords
  • Neuromorphic engineering
  • Materials science
  • Ferroelectricity
  • Transistor
  • Optoelectronics
  • Synaptic weight
  • Computer science
  • Electronic engineering
UN Sustainable Development Goals
  • Affordable and clean energy
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