2D Semiconductor‐Based Optoelectronics for Artificial Vision
Abstract: Artificial retina technologies aim to restore visual function by mimicking the natural processes of the eye. These biomimetic devices can convert light into electrical signals that the brain can interpret as visual information, bypassing damaged or non‐functional cells of the eye. To be effective, these devices should possess high sensitivity to light, high spatial resolution, biocompatibility, power efficiency, and so on. Recently, 2D semiconductor materials have appeared as a promising candidate for artificial retinal devices, thanks to their excellent optoelectronic properties, ultrathin body, flexible nature, and biocompatibility. Here the recent developments in the field of 2D semiconductors‐based optoelectronics for visual function recovery are reviewed and their potential applications are discussed. The photodetector, optoelectronic memory, and artificial synapse mechanisms and devices utilized in artificial systems that are based on 2D semiconductor materials are summarized. Additionally, a range of application scenarios for devices that are inspired by retinal cells and vision systems is explored. Finally, it is concluded with an overview of the critical technical challenges and strategies that must be addressed for the successful development of artificial retina technologies. It also highlights the potential for new applications in other fields, such as robotics and artificial intelligence.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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2D Semiconductor‐Based Optoelectronics for Artificial Vision ; day:08 ; month:09 ; year:2023 ; extent:20
Advanced functional materials ; (08.09.2023) (gesamt 20)
- Urheber
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Li, Na
Zhang, Songge
Peng, Yalin
Li, Xiuzhen
Zhang, Yangkun
He, Congli
Zhang, Guangyu
- DOI
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10.1002/adfm.202305589
- URN
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urn:nbn:de:101:1-2023090915120412086734
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:52 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Li, Na
- Zhang, Songge
- Peng, Yalin
- Li, Xiuzhen
- Zhang, Yangkun
- He, Congli
- Zhang, Guangyu
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