journal article·2025-06Open access

High‐Performance Synapse Arrays for Neuromorphic Computing via Floating Gate‐Engineered IGZO Synaptic Transistors (Adv. Sci. 21/2025)

Junhyeong Park, Yumin Yun, Sunyeol Bae, Yuseong Jang, Seungyoon Shin, Soo‐Yeon Lee

Advanced Science· Volume 12· Issue 21

Abstract

Synaptic Transistors In article number 2500568, Soo-Yeon Lee, Junhyeong Park, and co-workers present high-performance indium-gallium-zinc-oxide (IGZO)-based synaptic transistors with the implementation of a synapse array. IGZO synaptic transistors exhibit enhanced electrical characteristics, including reduced operating voltages and longer retention, via floating-gate engineering. The synapse array demonstrates high yield and uniform synaptic characteristics, achieving high accuracy in image classification using a spiking neural network.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Ferroelectric and Negative Capacitance Devices

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