Agar-Based Resistive Switching Memory for Neuromorphic Applications

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Authors: Han-Chiang Chen, I-Chieh Kao, Keng-Jui Lai, Chun‐Yen Chen, Yu‐Chi Chang
Cited by: 1
References: 25

Abstract

High Resolution Image Download MS PowerPoint Slide With the growing demand for sustainable and brain-inspired electronics, biobased resistive random-access memory (Bio-RRAM) has emerged as a promising alternative to conventional inorganic devices. However, most reported Bio-RRAMs still suffer from formation requirements, unstable ON/OFF ratios, or complex hybrid structures, limiting their practical use in neuromorphic computing. Here, we demonstrate a potassium-doped agar Bio-RRAM that overcomes these challenges through a simple, fully biodegradable design. The optimized device achieves forming-free bipolar switching, a stable ON/OFF ratio over 10 3, stable and reproducible switching cycles, and retention beyond 10 4 s. More importantly, the device also exhibits synaptic plasticity behaviors, including potentiation, depression, paired-pulse facilitation and depression, and multilevel conductance states, highlighting its feasibility for neuromorphic computing. These findings demonstrate that agar-based bioelectronics can serve as a promising route toward next-generation sustainable memory systems.

Fields of Study & Subjects

Advanced Memory and Neural Computing Neural Networks and Reservoir Computing Ferroelectric and Negative Capacitance Devices

Publication details

Journal / source
ACS Omega
Publisher
American Chemical Society (ACS)
Volume
11
Issue
7
Pages
12175–12182
Publication date
12 February 2026
Language
EN