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Program Scientific Program
POS5-1211

Robust Biodegradable Multilayer Artificial Synapse with Sub-Biological Energy and Extended Memory for Intelligent Reflexive Systems

When and Where

Nov 30, -0001   00:00 - 00:00

Presenter(s)

Hyeji Oh (Ulsan national institute of science and technology)

Co-Author(s)

Yoojin Chang (Ulsan national institute of science and technology), Sangyun Na (Ulsan national institute of science and technology), Yun Goo Ro (Ulsan national institute of science and technology), Hyunhyub Ko (Ulsan national institute of science and technology)

Abstract

Biodegradable artificial synapses offer a promising pathway toward sustainable neuromorphic electronics by reducing environmental concerns associated with the growing accumulation of non-degradable electronic waste. However, simultaneously achieving long-term memory retention, ultralow-power operation, and mechanical robustness remain a persistent challenge for biodegradable artificial synapses.

Here, we report a fully biodegradable multilayer artificial synapse (M-AS) composed of vertically stacked crosslinked chitosan–guar gum (CS–GG) ion-active layers (IALs) and a cellulose acetate (CA) ion-binding layer (IBL). Sodium chloride, embedded in the IALs, acts as a mobile ionic species analogous to biological neurotransmitters, enabling low-voltage ion migration. Upon electrical stimulation, ion migration and dipole alignment induce ion-dipole coupling (IDC) at the IAL-IBL interface, leading to partial ion retention. The retained ions generate cascade-like postsynaptic current (PSC) responses, which support memory formation.

The optimized M-AS emulates key synaptic plasticity behaviors, including paired-pulse facilitation (PPF), short-/long-term plasticity (STP/LTP), and bidirectional excitatory/inhibitory modulation under sub-millivolt operating voltages. Notably, it achieves an ultralow energy consumption of 0.85 fJ per synaptic event, lower than that of biological synapses (1–10 fJ), and the longest reported long-term memory time (5944 s) among biodegradable artificial synapses.

Integrating the M-AS with a thermistor and a robotic actuator further enables a bioinspired reflexive system that detects potentially harmful thermal stimuli, such as burns and frostbite, and performs stimulus-dependent learning and reflex-like actions. These results demonstrate its potential as a mechanically robust, energy-efficient, and fully biodegradable platform for sustainable, next-generation adaptive human–machine interfaces.
Supported by
Korea Tourism Organization BUSAN TOURISM ORGANIZATION
Sponsored by
Korea Research Institute of Chemical Technology Advanced Materials Division Sejin CI DONGJIN SEMICHEM HAEDONG SCIENCE FOUNDATION COSMAX EcoProBM Young Eng. Sci. Doosan SAMSUNG SDI S-OIL 한국도레이과학진흥재단