ZnO Nanomaterials-Based Optoelectronic Synaptic Devices and Applications in Neuromorphic Computation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 1071
Special Issue Editors
Interests: piezotronics; piezo-phototronics; pyro-phototronics; tribotronics; nanogenerators; tribovoltaic; self-powered sensors; surface acoustic wave devices and sensors; piezoelectric semiconductor materials, devices, and physics
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Special Issue Information
Dear Colleagues,
ZnO is a metal-oxide semiconductor with direct wide bandgap of around 3.4 eV and an exciton binding energy of 60 meV at room temperature, possessing huge potential in UV-range optoelectronic devices. Oxygen vacancy plays a dominant role in the UV response of ZnO, since it traps the photo-generated holes and leaves the photo-generated electrons to modulate the photoconductivity of ZnO. However, the trapping and releasing processes of photo-generated holes via oxygen vacancy are usually very slow, resulting in the well-known persistent photoconductivity phenomenon in ZnO UV optoelectronic devices. Though the persistent photoconductivity, which indicates that the recovery of ZnO’s photoconductivity after UV illumination takes a very long time, should be reduced from the perspective of ZnO UV photodetector, it makes ZnO a potential candidate for developing high-performance optoelectronic synaptic devices, especially ZnO nanomaterials because of the much larger surface-to-volume ratio compared to ZnO bulk material.
Accordingly, this Special Issue, titled “ZnO nanomaterials based optoelectronic synaptic devices and applications in neuromorphic computation”, seeks to showcase research papers, short communications, and review articles that focus on (1) the influences of oxygen vacancy on ZnO and persistent photoconductivity and (2) ZnO nanomaterial-based optoelectronic synaptic devices and applications in neuromorphic computation.
Dr. Wenbo Peng
Prof. Dr. Yongning He
Guest Editors
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Keywords
- ZnO
- nanowire
- nanorod
- nanosheet
- nanofilm
- oxygen vacancy
- persistent photoconductivity
- optoelectronic synapse
- neuromorphic computation
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