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Multi-Wavelength-Recognizable Memristive Devices via Surface Plasmon Resonance Effect for Color Visual System
Jiaqi Han1, Xuanyu Shan1, Ya Lin1
1Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Ministry of Education, 5268 Renmin Street, Changchun, 130024, China.
Small (Weinheim an Der Bergstrasse, Germany)
|March 9, 2023
Summary
Researchers developed new photoelectric memristors using silver nanoparticles and porous silicon oxide. These devices can recognize different colors, paving the way for advanced artificial vision systems.
Area of Science:
- Materials Science
- Nanotechnology
- Optoelectronics
Background:
- Photoelectric memristors show promise for optical communication and artificial vision.
- A key challenge is enabling memristive devices to recognize color for artificial vision systems.
Purpose of the Study:
- To develop multi-wavelength recognizable memristive devices.
- To realize color image recognition using these novel memristive devices.
Main Methods:
- Fabrication of memristive devices using silver (Ag) nanoparticles (NPs) and porous silicon oxide (SiOₓ) nanocomposites.
- Utilizing localized surface plasmon resonance (LSPR) and optical excitation of Ag NPs.
- Characterization using X-ray photoelectron spectroscopy (XPS) and conductive atomic force microscopy (C-AFM).
Main Results:
- Devices exhibit reduced set voltage and suppressed current overshoot under visible light irradiation of different wavelengths.
- Diverse low resistance states (LRS) are achieved, enabling controlled switching.
- Successful demonstration of color image recognition based on controlled switching voltage and LRS resistance distribution.
Conclusions:
- Photo-assisted Ag ionization significantly reduces set voltage and overshoot current during resistive switching (RS).
- This work presents an effective approach for developing multi-wavelength-recognizable memristive devices.
- The findings contribute to the advancement of artificial color vision systems.
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