Defect passivation of hafnium oxide ferroelectric tunnel junction using forming gas annealing for neuromorphic applications

Forming gas annealing (FGA) is applied to HfO<sub>x</sub> ferroelectric tunnel junction (FTJ) synaptic devices to passivate defects and reduce trap-assisted-tunneling (TAT). Without FGA, TAT caused by defects in metal-ferroelectric-insulator-semiconductor (MFIS) FTJ stack dominates the conduction mechanism in FTJs and results in no memory window (MW). The reduction of defects or TAT after FGA reveals the effect of polarization switching on the FTJ performance. Consequently, linear/symmetric potentiation and depression (P/D) characteristics of FTJ after FGA with stable repeatability are obtained. Owing to the FGA-induced linearity and symmetricity of P/D, a learning accuracy of approximately 90% is achieved via pattern recognition simulations utilizing HfO<sub>x</sub> FTJ crossbar.

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Publication Details

Journal
Nano Convergence
Published
2025-03-24
DOI
https://doi.org/10.1186/s40580-025-00481-6
Citations
3
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
Field-Weighted Citation Impact
2.19

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article

Defect passivation of hafnium oxide ferroelectric tunnel junction using forming gas annealing for neuromorphic applications

Rino Choi, Wonjun Shin, Kyung Kyu Min, Jiyong Yim et al.
3 citations
Nano Convergence
Ferroelectric and Negative Capacitance Devices
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article

Defect passivation of hafnium oxide ferroelectric tunnel junction using forming gas annealing for neuromorphic applications

Rino Choi, Wonjun Shin, Kyung Kyu Min, Jiyong Yim, Manh-Cuong Nguyen, Daewoong Kwon
article en
3 citations

Abstract

Forming gas annealing (FGA) is applied to HfO<sub>x</sub> ferroelectric tunnel junction (FTJ) synaptic devices to passivate defects and reduce trap-assisted-tunneling (TAT). Without FGA, TAT caused by defects in metal-ferroelectric-insulator-semiconductor (MFIS) FTJ stack dominates the conduction mechanism in FTJs and results in no memory window (MW). The reduction of defects or TAT after FGA reveals the effect of polarization switching on the FTJ performance. Consequently, linear/symmetric potentiation and depression (P/D) characteristics of FTJ after FGA with stable repeatability are obtained. Owing to the FGA-induced linearity and symmetricity of P/D, a learning accuracy of approximately 90% is achieved via pattern recognition simulations utilizing HfO<sub>x</sub> FTJ crossbar.

Nano ConvergenceVol. 12(1)
Seoul National University (KR), Inha University (KR), Hanyang University (KR), Sungkyunkwan University (KR)
Institute for Basic Science
Affordable and clean energy
Openalex Percentile: Top 13%
Ferroelectric and Negative Capacitance Devices
2.19
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