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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1002/adma.201908419
|2 doi
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|a eng
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| 100 |
1 |
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|a Ran, Wenhao
|e verfasserin
|4 aut
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| 245 |
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|a An Integrated Flexible All-Nanowire Infrared Sensing System with Record Photosensitivity
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|c 2020
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 30.09.2020
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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|a Infrared (IR) photodetectors are a key optoelectronic device and have thus attracted considerable research attention in recent years. Photosensitivity is an increasingly important device performance parameter for nanoscale photodetectors and image sensors, as it determines the ultimate imaging quality and contrast. However, photosensitivities of state-of-the-art low-dimensional nanostructure-based IR detectors are considerably low, limiting their practical applications. Herein, a biomimetic IR detection amplification (IRDA) system that boosts photosensitivity by several orders of magnitude by introducting nanowire field effect transistors (FETs), resulting in a peak photosensitivity of 7.6 × 104 under an illumination of 1342 nm, is presented. Consequently, high-contrast imaging of IR light is obtained on the flexible IRDA arrays. The image information can be then trained and recognized by an artificial neural network for higher image-recognition efficiency. This work provides a new perspective for developing high-performance IR imaging systems, and is expected to undoubtedly enlighten future work on artificial intelligence and biorobotic systems
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|a Journal Article
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|a flexible amplifier systems
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| 650 |
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4 |
|a image recognition
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| 650 |
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4 |
|a infrared image sensors
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| 650 |
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4 |
|a nanowires
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| 650 |
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4 |
|a record photosensitivity
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| 700 |
1 |
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|a Wang, Lili
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhao, Shufang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Depeng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yin, Ruiyang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lou, Zheng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Shen, Guozhen
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Advanced materials (Deerfield Beach, Fla.)
|d 1998
|g 32(2020), 16 vom: 07. Apr., Seite e1908419
|w (DE-627)NLM098206397
|x 1521-4095
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|g volume:32
|g year:2020
|g number:16
|g day:07
|g month:04
|g pages:e1908419
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|u http://dx.doi.org/10.1002/adma.201908419
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