Agar-Based Resistive Switching Memory for Neuromorphic Applications
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