Optoelectronic Nanomaterials and Nanodevices for Neuromorphic Application

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanophotonics Materials and Devices".

Deadline for manuscript submissions: 22 August 2025 | Viewed by 416

Special Issue Editor


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Guest Editor
Key Laboratory for UV Light-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, Changchun, China
Interests: optoelectronic devices; memristor; synaptic devices; neuromorphic computing; artificial visual system

Special Issue Information

Dear Colleagues,

Inspired by the biological system, the development of neuromorphic visual systems is at the cutting-edge of research, showing great promise for applications in neuromorphic intelligence technologies and smart robotics. Optoelectronic nanomaterials, including quantum dots, 2D materials, perovskites, and nanowires, and optoelectronic nanodevices have emerged as a promising candidate for artificial synapses in the construction of neuromorphic visual systems. Their novel optical and photophysical properties allow them to closely resemble biological functions.

This Special Issue focuses on the development of emerging optoelectroinc nanomaterials, the design of fucntional nandevices, and the exploration of neuromorphic applications. Original research articles, reviews, and perspectives are welcome. Research areas may include (but are not limited to) the following: microstructure design of optoelectronic nanomaterials; manufacture of optoelectronic nanodevices mainly including memristors, photosensors, phototransistors, and other optoelectronic synaptic devices; neuromorphic applications in artificial synapses/neurons; and artificial visual systems. 

We look forward to receiving your contributions.

Dr. Ya Lin
Guest Editor

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Keywords

  • nanomaterials and nanodevices
  • memristor
  • photosensor
  • phototransistor
  • optoelectronic synaptic devices
  • neuromorphic system
  • artificial vision
  • sensory functions

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Published Papers (1 paper)

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Research

9 pages, 2349 KiB  
Article
Photopic Adaptation Mimicked by Y2O3-Based Optoelectronic Memristor for Neuromorphic Visual System
by Jiajuan Shi, Shanshan Qiao, Xuanyu Shan, Zhuangzhuang Li, Zhipeng Li, Chunliang Wang, Ye Tao, Xiaoning Zhao, Ya Lin and Zhongqiang Wang
Nanomaterials 2025, 15(8), 579; https://doi.org/10.3390/nano15080579 - 11 Apr 2025
Viewed by 260
Abstract
Visual adaptation is one of the most significant features that helps organisms process complicated image information in time-varying environments. Emulating this function is highly desirable for energy-efficient image perception. In this work, we demonstrate an yttrium oxide (Y2O3)-based optoelectronic [...] Read more.
Visual adaptation is one of the most significant features that helps organisms process complicated image information in time-varying environments. Emulating this function is highly desirable for energy-efficient image perception. In this work, we demonstrate an yttrium oxide (Y2O3)-based optoelectronic memristor and emulate photopic adaptation behavior in a single device. Decay amplitude and photosensitivity are indexed to describe the time-dependent characteristics of photopic adaptation. An intensity-dependent characteristic, namely Weber’s law, is also investigated in this work. Photopic adaptation originates from the trapping of photogenerated carriers in oxygen vacancies. Based on photopic adaptation behavior, a neuromorphic vision system capable of adapting to environmental brightness is constructed using the proposed optoelectronic memristor array. Memristor arrays can emulate sensing and adaptation functions in order to enhance images against bright backgrounds. Our work provides a feasible pathway toward self-adaptive neuromorphic vision systems. Full article
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