Numerical Investigation of Electrical Performance and Scaling Properties in 6T1C IGZO-Based Synaptic Devices

A 6T1C IGZO-based synaptic memory has excellent linearity, symmetry, and retention characteristics. In this work, we numerically investigate the performance of a 6T1C IGZO-based synaptic memory by examining leakage characteristics, synaptic behavior, and capacitance scaling. The impact of cell size reduction on retention characteristics is also evaluated.

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Published
2025-06-08
DOI
https://doi.org/10.23919/snw65111.2025.11097260
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Numerical Investigation of Electrical Performance and Scaling Properties in 6T1C IGZO-Based Synaptic Devices

Changhoon Joe, Y.K. Kwon, Sang‐Bum Kim, Sung‐Min Hong et al.
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Advanced Memory and Neural Computing
article

Numerical Investigation of Electrical Performance and Scaling Properties in 6T1C IGZO-Based Synaptic Devices

Changhoon Joe, Y.K. Kwon, Sang‐Bum Kim, Sung‐Min Hong, Youngchae Roh
article en

Abstract

A 6T1C IGZO-based synaptic memory has excellent linearity, symmetry, and retention characteristics. In this work, we numerically investigate the performance of a 6T1C IGZO-based synaptic memory by examining leakage characteristics, synaptic behavior, and capacitance scaling. The impact of cell size reduction on retention characteristics is also evaluated.

Seoul National University (KR), Gwangju Institute of Science and Technology (KR)
Affordable and clean energy
Openalex Percentile: Top 83%
Advanced Memory and Neural Computing
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