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231227s2024 xx |||||o 00| ||eng c |
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|a 10.1002/adma.202310155
|2 doi
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|a pubmed24n1353.xml
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|a (NLM)38100140
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|a DE-627
|b ger
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|e rakwb
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|a eng
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| 100 |
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|a Guo, Ziyi
|e verfasserin
|4 aut
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| 245 |
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|a Organic High-Temperature Synaptic Phototransistors for Energy-Efficient Neuromorphic Computing
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|c 2024
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Revised 28.03.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2023 Wiley‐VCH GmbH.
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|a Organic optoelectronic synaptic devices that can reliably operate in high-temperature environments (i.e., beyond 121°C) or remain stable after high-temperature treatments have significant potential in biomedical electronics and bionic robotic engineering. However, it is challenging to acquire this type of organic devices considering the thermal instability of conventional organic materials and the degradation of photoresponse mechanisms at high temperatures. Here, high-temperature synaptic phototransistors (HTSPs) based on thermally stable semiconductor polymer blends as the photosensitive layer are developed, successfully simulating fundamental optical-modulated synaptic characteristics at a wide operating temperature range from room temperature to 220°C. Robust optoelectronic performance can be observed in HTSPs even after experiencing 750 h of the double 85 testing due to the enhanced operational reliability. Using HTSPs, Morse-code optical decoding scheme and the visual object recognition capability are also verified at elevated temperatures. Furthermore, flexible HTSPs are fabricated, demonstrating an ultralow power consumption of 12.3 aJ per synaptic event at a low operating voltage of -0.05 mV. Overall, the conundrum of achieving reliable optical-modulated neuromorphic applications while balancing low power consumption can be effectively addressed. This research opens up a simple but effective avenue for the development of high-temperature and energy-efficient wearable optoelectronic devices in neuromorphic computing applications
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|a Journal Article
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|a energy‐efficient
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|a high temperatures
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|a neuromorphic computing
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|a organic materials
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|a synaptic phototransistors
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|a Zhang, Junyao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yang, Ben
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Li, Li
|e verfasserin
|4 aut
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1 |
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|a Liu, Xu
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Xu, Yutong
|e verfasserin
|4 aut
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| 700 |
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|a Wu, Yue
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Guo, Pu
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Sun, Tongrui
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Dai, Shilei
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liang, Haixia
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Jun
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zou, Yidong
|e verfasserin
|4 aut
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|a Xiong, Lize
|e verfasserin
|4 aut
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| 700 |
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|a Huang, Jia
|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 36(2024), 13 vom: 25. März, Seite e2310155
|w (DE-627)NLM098206397
|x 1521-4095
|7 nnns
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| 773 |
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|g volume:36
|g year:2024
|g number:13
|g day:25
|g month:03
|g pages:e2310155
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|u http://dx.doi.org/10.1002/adma.202310155
|3 Volltext
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