Related Experiment Video
Updated: Apr 29, 2026

08:07
Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
7.9K
Near-Infrared Optoelectronic Memristor with All-Optical Modulation for Microscopic Biological Motion Recognition.
Jiaqi Han1, Hongchen Mao2, Ya Lin1
1State Key Laboratory of Integrated Optoelectronics, School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun, 130024, P. R. China.
Advanced Materials (Deerfield Beach, Fla.)
|August 28, 2025
Summary
This study introduces a novel near-infrared (NIR) optoelectronic memristor using ZnO-upconversion nanoparticles for all-optical modulation. This breakthrough enables bidirectional light response, advancing neuromorphic vision and low-power computing applications.
Area of Science:
- Materials Science
- Nanotechnology
- Optoelectronics
Background:
- Near-infrared (NIR) synaptic devices offer enhanced visual spectrum access and integrate computing with optical communication.
- Existing optical synapses suffer from irreversible responses under short-wavelength infrared light, limiting practical applications.
Purpose of the Study:
- To develop a NIR optoelectronic memristor with all-optical modulation overcoming the limitations of current optical synapses.
- To explore the potential of ZnO-upconversion nanoparticles (ZnO-UCNPs) in nanocomposite films for advanced neuromorphic systems.
Main Methods:
- Fabrication of a ZnO-UCNPs nanocomposite film for a NIR optoelectronic memristor.
- Characterization of the device's bidirectional light response under 350 nm and 980 nm light stimulations.
- Investigation of the memristive mechanism involving photothermal effects and optical excitation.
Main Results:
- The proposed device demonstrated reversible optical modulation and synaptic plasticity under NIR light.
- The memristive mechanism was attributed to the synergistic photothermal effect of UCNPs and ZnO optical excitation.
- Demonstrated fault-tolerant logical functions and potential for biological motion detection and edge detection.
Conclusions:
- The developed ZnO-UCNPs based NIR memristor offers a promising solution for fully optically controlled devices.
- This advancement paves the way for next-generation low-power, high-efficiency neuromorphic visual systems.
- The device's capabilities in biological sensing and edge detection highlight its versatility.

