Ultralow‐Power Peptide‐Based Memristor Enabled by Emulation of Proton‐Mediated Synaptic Signaling
Year: 2025
Type: article
Abstract: The substantial power consumption of traditional computing architectures, arising from the physical separation of memory and processing units, has motivated the exploration of neuromorphic systems that emulate the remarkable energy efficiency of the human brain. However, artificial neural networks implemented on neuromorphic devices still require billions of weight updates, and conventional devices typically consume power in the milliwatt range per switching event, posing a significant challenge even for neuromorphic systems. In this study, a synapse‐like memristive device utilizing a tyrosine‐rich peptide is presented as the resistive switching layer. By emulating proton‐mediated signaling of biological synapses, the device leverages proton–electron dual‐carrier transport enabled by the redox‐active properties of tyrosine to realize ultralow‐power resistive switching. Proton modulation is implemented through two methods: i) exposure to external humidity and ii) electrically driven injection using a PdH x proton reservoir layer. Comparative analysis reveals that the electrically driven approach achieves an ultralow switching power of 215 pW—≈2500 times lower than that of the intrinsic device—primarily owing to the sustained low off‐current during proton injection. These results demonstrate a promising strategy for developing highly energy‐efficient, synapse‐like memristive devices through precise control of proton dynamics.
Source: Small Methods
Authors: Jeong Hyun Yoon, Wooho Ham, Kyung Jun Park, Seok Daniel Namgung, Min‐Kyu Song, Jang‐Yeon Kwon
Institutions: Yonsei University, Chung-Ang University, Korea University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,640
Awards: G1251031942, G30685149, G7158747944
OpenAlex ID: W4415535950