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Low-Thermal-Budget Ferroelectric Field-Effect Transistors Based on CuInP2S6 and InZnO.
Ryu, Hojoon; Kang, Junzhe; Park, Minseong; Bae, Byungjoon; Zhao, Zijing; Rakheja, Shaloo; Lee, Kyusang; Zhu, Wenjuan.
Afiliação
  • Ryu H; Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
  • Kang J; Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
  • Park M; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.
  • Bae B; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.
  • Zhao Z; Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
  • Rakheja S; Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
  • Lee K; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.
  • Zhu W; Department of Material Science and Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.
ACS Appl Mater Interfaces ; 15(46): 53671-53677, 2023 Nov 22.
Article em En | MEDLINE | ID: mdl-37947841
In this paper, we demonstrate low-thermal-budget ferroelectric field-effect transistors (FeFETs) based on the two-dimensional ferroelectric CuInP2S6 (CIPS) and oxide semiconductor InZnO (IZO). The CIPS/IZO FeFETs exhibit nonvolatile memory windows of ∼1 V, low off-state drain currents, and high carrier mobilities. The ferroelectric CIPS layer serves a dual purpose by providing electrostatic doping in IZO and acting as a passivation layer for the IZO channel. We also investigate the CIPS/IZO FeFETs as artificial synaptic devices for neural networks. The CIPS/IZO synapse demonstrates a sizable dynamic ratio (125) and maintains stable multilevel states. Neural networks based on CIPS/IZO FeFETs achieve an accuracy rate of over 80% in recognizing MNIST handwritten digits. These ferroelectric transistors can be vertically stacked on silicon complementary metal-oxide semiconductor (CMOS) with a low thermal budget, offering broad applications in CMOS+X technologies and energy-efficient 3D neural networks.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: ACS Appl Mater Interfaces Assunto da revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: ACS Appl Mater Interfaces Assunto da revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos