Sodium dopant in pectin mediates ionic-electronic coupling on Na0.67Mg0.28Mn0.72O2 for electrolyte-type artificial synapse with tunable plasticity

Y Yao Ni J Jiawei Yang K Kexuan Liao R Renjie Li (Songshan Lake Materials Laboratory) Z Zujun Wang (National Key Laboratory of Intense Pulsed Irradiation Simulation and Effect, Northwest Institute of Nuclear Technology 5 , Xi'an 710024,) C Can Fu (School of Integrated Circuits, Anhui University 6 , Hefei 230601,) S Shanshan Jiang (Eastern Institute for Advanced Study, Ningbo Institute of Digital Twin) C Chen Liang (MOE Key Laboratory for Non-Equilibrium Synthesis and Modulation of Condensed Matter, School of Physics) P Peng Chen Q Qingxuan Li B Boyang Yu J Jing Qi (State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Key Laboratory for Advanced Materials, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering) H Huanhuan Wei G Gang He Y Yuan Liu

Abstract

To enhance the plasticity modulation capabilities of two terminal electrolyte-based artificial synapse, we designed a battery-like device that integrates a P2-type intercalated compound, Na0.67Mg0.28Mn0.72O2, with ion-doped pectin electrolytes. Compared to devices utilizing pure pectin, the proposed Na-rich intercalated compound artificial synapse with ion-doped pectin electrolytes, incorporating 0.5 wt. % additives, demonstrates a remarkable 2000% improvement in response. Furthermore, by leveraging the additional capacity provided by nonbonding O 2p orbitals, the device achieves a balance between short-term plasticity and memory enhancement, modulating interface behavior from the electric double layer to electrochemical doping. As a result, it facilitates functions such as high-pass filtering, Morse coding, information decryption, and sensory memory temporariness. Additionally, the controllable temporal dynamics of the high-response device with doped electrolytes enable high-accuracy pattern recognition. This enhancement in plasticity modulation capability positions the device as a promising candidate for intelligent systems that integrate perception and processing.

Article Details

Volume / Issue Vol. 126, Issue 23
Published June 09, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (15)

Y

Yao Ni

J

Jiawei Yang

K

Kexuan Liao

R

Renjie Li

Songshan Lake Materials Laboratory

Z

Zujun Wang

National Key Laboratory of Intense Pulsed Irradiation Simulation and Effect, Northwest Institute of Nuclear Technology 5 , Xi'an 710024,

C

Can Fu

School of Integrated Circuits, Anhui University 6 , Hefei 230601,

S

Shanshan Jiang

Eastern Institute for Advanced Study, Ningbo Institute of Digital Twin

C

Chen Liang

MOE Key Laboratory for Non-Equilibrium Synthesis and Modulation of Condensed Matter, School of Physics

P

Peng Chen

Q

Qingxuan Li

B

Boyang Yu

J

Jing Qi

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Key Laboratory for Advanced Materials, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering

H

Huanhuan Wei

G

Gang He

Y

Yuan Liu