224 Tops/W-Level Analog Computation in Memory Cell Using Hybrid Ferroelectric Tunnel Junction Having Enhanced on-State Conductance

Here, we demonstrate hybrid ferroelectric tunnel junctions (H-FTJs) that combine ferroelectric and resistive switching for analog computation in memory. The key of H-FTJs lies in the modulation of the effective tunneling thickness by the control of oxygen vacancy-based unconnected filaments in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{HfZrO}_{2}$</tex>. The H-FTJs exhibited high on-state conductance <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\left(1.6 \times 10^{3}\right. \mathrm{S} / \text{cm}^{2}$</tex>) and on/off ratios <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(32,000)$</tex> compared to recent studies on <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{HfZrO}_{2}$</tex>-based FTJs. We also fully integrated one-transistor-one-(H-FTJ) cross-bar arrays, and confirmed their analog multiply-accumulate operations (accuracy 91.9%) with high energy efficiency (224.4 TOPS/W) for inference tasks.

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Published
2025-06-08
DOI
https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11074955
Primary Topic
Advanced Memory and Neural Computing
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article
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article

224 Tops/W-Level Analog Computation in Memory Cell Using Hybrid Ferroelectric Tunnel Junction Having Enhanced on-State Conductance

Ilsik Jang, Soo Gil Kim, Seon Yong, Youngmo Kim et al.
Advanced Memory and Neural Computing
article

224 Tops/W-Level Analog Computation in Memory Cell Using Hybrid Ferroelectric Tunnel Junction Having Enhanced on-State Conductance

Ilsik Jang, Soo Gil Kim, Seon Yong, Youngmo Kim, Woocheol Lee, Won-Tae Koo, Hojin Cho, Youngman Cho, Kayoung Kim, Jae-Gil Lee, C. Kim, Seungyeol Oh, Sangmin Lee, Min Young Lee, Jung‐Hun Lee, Seho Lee, Hyejung Choi, Hyung Dong Lee, Sujin Chae, Jaeyun Yi
article en

Abstract

Here, we demonstrate hybrid ferroelectric tunnel junctions (H-FTJs) that combine ferroelectric and resistive switching for analog computation in memory. The key of H-FTJs lies in the modulation of the effective tunneling thickness by the control of oxygen vacancy-based unconnected filaments in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{HfZrO}_{2}$</tex>. The H-FTJs exhibited high on-state conductance <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\left(1.6 \times 10^{3}\right. \mathrm{S} / \text{cm}^{2}$</tex>) and on/off ratios <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(32,000)$</tex> compared to recent studies on <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{HfZrO}_{2}$</tex>-based FTJs. We also fully integrated one-transistor-one-(H-FTJ) cross-bar arrays, and confirmed their analog multiply-accumulate operations (accuracy 91.9%) with high energy efficiency (224.4 TOPS/W) for inference tasks.

SK Group (South Korea) (KR)
Affordable and clean energy
Openalex Percentile: Top 82%
Advanced Memory and Neural Computing
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